SciELO - Scientific Electronic Library Online

 
vol.13 número2Presencia de Varroa destructor, Nosema spp. y Acarapis woodi en colonias de abejas de TabascoLas abejas sin aguijón (Tribu Meliponini) en los agroecosistemas de América Latina índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


Revista mexicana de ciencias agrícolas

versão impressa ISSN 2007-0934

Rev. Mex. Cienc. Agríc vol.13 no.2 Texcoco Fev./Mar. 2022  Epub 01-Ago-2022

https://doi.org/10.29312/remexca.v13i2.3131 

Articles

Population density and organic fertilization in fava bean from central Mexiquense

Laura Stephanie  Flores Carrera1 

Delfina de Jesús  Pérez López2  § 

Dora Ma. Sangerman-Jarquín3 

Martín Rubí Arriaga1 

Andrés González Huerta2 

José Francisco  Ramírez Dávila1 

1Universidad Autónoma del Estado de México-Instituto de Ciencias Agropecuarias y Rurales-Campus Universitario ‘El Cerrillo’. Toluca, Estado de México. Tel. 722 2965552, ext. 117. (pcarn@uaemex.mx; lphaniefc@hotmail.com; mrubia@uaemex.mx; jframirezd@uaemex.mx).

2Centro de Investigación y Estudios Avanzados en Fitomejoramiento-Facultad de Ciencias Agrícolas-Universidad Autónoma del Estado de México. AP. 435. Tel. 722 2965518, ext. 148. (agonzalezh@uaemex.mx).

3Campo Experimental Valle de México-INIFAP. Carretera Los Reyes-Texcoco km 13.5, Coatlinchán, Texcoco, México. CP. 56250. (dsangerman@yahoo.com.mx).


Abstract

Two experiments were established in 2017 and 2018 in San Nicolás Guadalupe, San Felipe del Progreso, State of Mexico, to evaluate the effects of spacing between plants at 20, 30, 40 and 50 cm with the application of chicken manure, vermicompost, mushroom compost and 30N-60P-60K in cultivars identified as Xalatlaco, Calimaya and San Felipe. The 48 treatments were evaluated in a series of randomized complete block design experiments with three replications per year in a split plot arrangement. In the combined analysis, it was observed that in both years (A) there were highly significant differences (p= 0.01) in 13 variables. In 2017, the best phenotypic expression in plant height (PH), flowering (DF), pods per plant (NPP), weight of pods per plant (WPP), seeds per pod (NSP), clean seeds (NCS) and weight of clean seeds (WCS) were favored, compared to 2018, but the yield (YLD) in both years was 1.5 t ha-1. In densities (D), there were significant differences (p= 0.01) in 13 variables, and it was detected that at a distance between plants of 20 cm there was more NPP (18.5 cm), PH (1.4 cm) and HFP (47.5 cm); at 40 and 50 cm between plants, there was more NB and NPB. In the NCS, WCS and YLD characteristics, the same behavior appeared at 20, 40 and 50 cm. In organic fertilizers (F), there was a significant phenotypic differentiation (p= 0.01) in PH, NPP, WPP, WCS and YLD; with chicken manure higher PH and HFP were obtained. The mushroom compost favored WPP, NSS and weight of 100 seeds (W100S) and the vermicompost did it in NPP, WPP and WCS. The three cultivars (C) were significantly different (p= 0.01): Xalatlaco was better in efficiency (EFF), WPP, WCS, W100S and YLD (1.74 t ha-1).

Keywords: Vicia faba L.; biplot graph; series of experiments in subdivided plots; technology.

Resumen

Dos experimentos se establecieron en 2017 y 2018 en San Nicolás Guadalupe, San Felipe del Progreso, Estado de México, para evaluar los efectos del distanciamiento entre plantas a 20, 30, 40 y 50 cm con la aplicación de gallinaza, lombricomposta, composta de champiñón y 30N-60P-60K en los cultivares identificados como Xalatlaco, Calimaya y San Felipe. Los 48 tratamientos fueron evaluados en una serie de experimentos en diseño de bloques completos al azar con tres repeticiones por año en un arreglo de parcelas subdivididas. En el análisis combinado se observó que en ambos años (A) hubo diferencias altamente significativas (p= 0.01) en 13 variables. En 2017 se favoreció la mejor expresión fenotípica en altura de planta (AP), floración (DF), vainas por planta (NVP), peso de vaina por planta (PVP), semillas por vaina (NSV), semillas limpias (NSL) y peso de semilla limpia (PSL), en comparación con 2018, pero el rendimiento (RTO) en ambos años fue de 1.5 t ha-1. En densidades (D) hubo diferencias significativas (p= 0.01) en 13 variables y se detectó que a un distanciamiento entre plantas de 20 cm hubo más NVP (18.5 cm), AP (1.4 cm) y APV (47.5 cm); a 40 y 50 cm entre plantas hubo más NR y NRP. En las características NSL, PSL y el RTO se presentó el mismo comportamiento a 20, 40 y 50 cm. En abonos orgánicos (F) hubo una diferenciación fenotípica significativa (p= 0.01) en AP, NVP, PVP, PSL y RTO; con gallinaza se obtuvo mayor AP y APV. La composta de champiñón favoreció PVP, NSM y peso de 100 semillas (P100S) y la lombricomposta lo hizo en NVP, PVP y PSL. Los tres cultivares (C) fueron diferentes significativamente (p= 0.01): Xalatlaco fue mejor en eficiencia (EFI), PVP, PSL, P100S y RTO (1.74 t ha-1).

Palabras clave: Vicia faba L.; biplot; serie de experimentos en parcelas subdivididas; tecnología.

Introduction

Fava bean (Vicia faba L.) is grown from 1 800 to 3 000 masl, it provides a high value in protein (from 24 to 32%) and carbohydrates to the human population (Volpelli et al., 2010; Vioque et al., 2012; Pérez et al., 2014) in green and dry (Crepón et al., 2010). It is currently of great importance in agroindustry (Baginsky et al., 2013) and is used as a rotation crop for its ability to fix atmospheric nitrogen (Kalia and Sood, 2004). In Mexico, it is sown in the High Valleys of the Central Plateau under different conditions of fertility and humidity (Rojas et al., 2012) and produces 1.27 t ha-1 in grain (SIAP, 2019).

The increase in its yield is relevant for this region, since it is a strategic species in the cultivation systems of small and medium farmers (Díaz et al., 2008), but this legume is negatively affected by climatic factors, soil fertility and pests and diseases. It also depends on water supplement, type of variety and population density, among others (Dobocha et al., 2019; Cucci et al., 2019; Mohamed and Rashed, 2020).

Population density affects yield and its components (Ayaz et al., 2004; Kubure et al., 2015), competition for natural and nutritional resources is affected by the distance between plants and between furrows. Bakry et al. (2011) reported that as plant density increased, the number of branches, pods per plant and seeds per plant decreased; pod weight, harvest index and yield also decreased; the greater the distance between plants, the more pods per plant and yield (Al-Suhaibani et al., 2013), but seeds per pod did not change.

In another study, there was an increase in plant height at 33.3 plants m-2 (Khalil et al., 1993; Al-Suhaibani et al., 2013; El Hag, 2017) or in the production of fodder and dry matter in pods at 16 plants m-2 (Estrada et al., 2017). As the density of plants m-2 has a direct effect on the cost of the seed and on the yield, it is necessary to establish an optimum to maximize the favorable expression of agronomic characters in each variety and in each environment (Dobocha et al., 2019). Vicia faba L. responds well in vertisol soils to a greater distance between furrows and between plants, which allows a better phenotypic expression in branches per plant, pods per plant, seeds per pod and seed weight (Gezahegn et al., 2016).

Mineral fertilization (Gai et al., 2018) to the soil is indispensable for plants, but the type of fertilizer applied may not be the most effective; those of organic origin, rich in organic matter, are important in their structure and in biological processes (Castelo et al., 2016). The application of organic fertilizers and manures improve soil fertility and significantly increase the yield in several crops (Afreh et al., 2018), such as worm humus composts, vermicompost (Bazán et al., 2014), mushroom compost (Fidanza et al., 2010), chicken manure (Aguiñaga et al., 2020), bocashi, (decomposition and fermentation of organic plant and animal waste (Bertoli et al., 2015; Sarmiento et al., 2019), Biol (organic foliar manure, product of anaerobic fermentation of animal and plant remains) and green fertilizers and biosolids (industrial organic waste and organic sediments (Felix et al., 2008; Bazán et al., 2014), all contribute organic matter to sustainable agriculture and improve yields in horticultural crops.

Compost tea + humic acids increased yield and seed quality in fava bean (Mohamed and Rashed, 2020). Sheep manure plus chemical fertilizer increased plant height, number of branches, chlorophyll content and macronutrients in the leaf of fava bean (Husain et al., 2016). With 10% vermicompost tea, there were more flowers, higher plant height and more pods per plant (Chaichi et al., 2018). The vermicompost plus mushroom compost produced 3.61 t ha-1 in grain (Pérez et al., 2019). The presence of phosphorus in chicken manure helps the development of the root and good nodulation in fava bean (Kubure et al., 2016). Thus, the main objective of the present study was to analyze the effects caused by population density and type of fertilizer on grain yield and other plant and pod characteristics in three cultivars of fava bean evaluated at one site over two years.

Materials and methods

Study area

This work was carried out in spring-summer of 2017 and 2018 in San Nicolás Guadalupe (SNG), municipality of San Felipe del Progreso, State of Mexico, located at 19° 36’ 30” north latitude and 100° 01’ 44” west longitude, at 2 740 masl, its predominant climate is temperate sub-humid with rains in summer. The average annual temperature is 15 °C, it has an annual rainfall of 892 mm and its soil is andosol (Orozco et al., 2013).

Genetic material

Three Mexiquense collections from Xalatlaco (C1), Calimaya (C2) and San Felipe del Progreso (C3) were used, which will be identified with the names of these municipalities (Table 1).

Experimental design and plot size

The 48 treatments, formed with the combination of the levels of each factor studied (Table 1), were evaluated in a series of experiments in time in randomized complete blocks with three repetitions per trial, in an arrangement of subdivided plots. The large, medium and small plots housed the density, fertilization and cultivars, respectively, the latter had three furrows of 4 m in length and 0.80 m in width, but the central one was the useful experimental unit (3.2 m2).

Table 1 Factors and levels of study. 

Density (D, cm) Fertilization (F, 2 t ha-1) Cultivar (C)
D1: 20 F1: Chicken manure C1: Xalatlaco
D2: 30 F2: Vermicompost C2: Calimaya
D3: 40 F3: Mushroom compost C3: San Felipe del Progreso
D4: 50 F4: 30N-60P-60K

Agronomic management

In 2017, the soil was prepared with fallow, cross and harrowing. Manual sowing in residual moisture was carried out on April 22, at 20, 30, 40 and 50 cm (62 500, 41 667, 31 250 and 25 000 plants ha-1, respectively) and chicken manure, vermicompost and mushroom compost were applied in 2 t ha-1, as well as 30N-60P-60K (urea, 46%, triple calcium superphosphate, 46% and potassium chloride, 60%). It was hoeing on May 30 and June 4 and 10 to hill the plants and efficiently control weeds.

On June 10 and 21 and August 19, Dimethoate (1 L ha-1) was applied to control puffin (Macrodactylus mexicanus) and black aphid (Aphis fabae) and copper oxychloride + mancozeb (2 kg ha-1) and mancozeb (1 kg ha-1) + foliar 20N-20P-20K (1 kg ha-1) to prevent and reduce damage caused by chocolate spot (Botrytis fabae) and rust (Uromyces) spp.). The harvest was carried out on December 16.

In 2018, sowing took place on April 21. Two hoeings were carried out: May 19 and June 9. Basagran 480 was sprayed in doses of 1.5 L ha-1 on May 26 and July 9, and manual weeding was done before physiological maturity. On June 18 and August 21, dimethoate (1 L ha-1) was applied to control puffin and black aphid and copper oxychloride + mancozeb (2 kg ha-1) and Thiabendazole (1 kg ha-1) to combat chocolate spot and rust. The harvest was carried out on December 8.

Variables evaluated

Ten plants were chosen in each useful plot and the following were recorded: plant height (PH: measured in cm, from the base to the apex of the main stem); height to first pod (HFP: in cm), nodes of the main stem (NN), branches (NB), branches with pod (NPB), efficiency (EFF: ratio between NPB and NB); flowering (DF: in days), pods per plant (NPP), weight of pods per plant (WPP: in g), seeds per pod (NSP), clean and spotted seeds per plant (NCS, NSS), weight of clean and spotted seeds per plant (WCS, WSS) and weight of 100 seeds (W100S; in g). Yield per plot (YLD) was extrapolated to t ha-1.

Statistical analysis

An analysis of variance was performed combining the data from both trials, applying the model: Yijklm = ( + αi + βm(i) + γj + (αγ)ij + εijm + δk + (γδ)jk + (αδ)ik + (αγδ)ijk + εijkm + θl + (γθ)jl + (δθ)kl + (γδθ)jkl + (αθ)il + (αγθ)ijl + (αδθ)ikl + εijklm. Where: ( is the grand mean, αi is the i-th experiment, β m(i) is the m-th repetition nested in the i-th experiment, γj is the j-th density, δk is the k-th fertilization, θl is the l-th cultivar, εijm, εijkm and εijklm are random variability associated with large, medium and small plots, respectively; the other ten components are estimable interactions. The comparison of means (Tukey, p= 0.05) and the principal component analysis were also performed with SAS (Statistical Analysis System, 1988) version for Windows; the biplot was made in Microsoft Excel, using the output generated by SAS (Sánchez, 1995).

Results and discussion

Combined analysis of variance

Although there were significant differences (p= 0.01) in 13 variables, these did not contribute to a better expression of productivity; 1.5 t ha-1 in grain was produced in both years. Population density (D) improved significantly (p= 0.01) plant height (PH) and height to first pod (HFP), branches (NB) and productive branches (NPB), flowering (DF), pods per plant (NPP), weight of pods per plant (WPP), clean and spotted seeds per plant (NCS, NSS), weight of spotted and clean seeds per plant (WSS, WCS), weight of 100 seeds (W100S) and yield (YLD t ha-1), these results are similar to those obtained by Bakry et al. (2011).

Organic fertilizers (F) contributed to the significant phenotypic differentiation (p= 0.01) of PH, NPP, WPP, WCS and YLD, as well as in HFP and NSS (p= 0.05); these results coincide with those of Pérez et al. (2019) and Álvarez et al. (2010). The effects caused by the cultivars (C) in 16 variables (p= 0.01) were similar to those of Pérez et al. (2014); Orozco et al. (2013). The effects caused by the interactions D x F, D x C and F x C, in 10 of the 16 variables, were also significant (p= 0.01) and agree with those of Dobocha et al. (2019) in DxFxC (Table 2 y 2-1), only in two variables the differences were not significant, which coincides with Kubure et al. (2016).

Table 2 Mean squares and statistical significance of F values in the combined analysis of variance. 

SV Dof PH HFP NN NB NPB EFF DF NPP
Years (Y) 1 0.283** 1377.68** 0.28 ns 37.12** 51.17** 0.503** 10200** 200**
Rep (Y) 4 0.005 ns 9.69 ns 3.87** 0.18 ns 0.58* 0.011 ns 1.19 ns 7.12 ns
Density (D) 3 0.073** 118.67** 3.69 ns 2.08** 1.46** 0.005 ns 16.56** 87.28**
Y*D 3 0.058** 4.2 ns 0.57 ns 0.28 ns 0.15 ns 0.012 ns 4.76 ns 28.27 ns
Error a 12 0.004 4.83 2.15 0.34 0.19 0.006 5.04 4.63
Fertilizers (F) 3 0.059** 37.9* 1 ns 0.03 ns 0.011 ns 0.002 ns 7.48 ns 55.26**
D*F 9 0.028** 30.32** 0.89 ns 0.79** 0.88** 0.008 ns 3.40 ns 18.93 ns
Y*F 3 0.06** 76.31** 2.36* 1.13** 1.16** 0.015* 7.48 53.46**
Y*D*F 9 0.029** 36.96** 3.25** 0.66** 0.531** 0.003 ns 3.1 ns 46.38**
Error b 48 0.004 12.56 1.27 0.16 0.18 0.004 3.62 4.3
Cultivar (C) 2 0.271** 1727.42** 84.53** 10.25** 5.43** 0.016* 1176.68** 680.57**
D*C 6 0.047** 59.993** 2.43** 0.93** 0.79** 0.007 ns 6.35 ns 39.6**
F*C 6 0.052** 63.55** 2.08* 1.19** 1.2** 0.015** 2.04 ns 17.69 ns
D*F*C 18 0.038** 49.85** 1.75** 0.57** 0.45** 0.007 ns 2.26 ns 51.15**
Y*C 2 0.078** 80.6** 22.78** 2.21** 2.18** 0.042** 35.38** 22.47 ns
Y*D*C 6 0.017* 42.8** 0.39 ns 1.29** 0.75** 0.003 ns 7.48 ns 38.31*
E*F*C 6 0.022** 9.29 ns 1.4 ns 1.92** 0.76** 0.004 ns 4.08 ns 53.42**
Error c 146 0.007 11.96 0.82 0.2 0.202 0.005 3.75 13.25
Total 287

*= significant at 0.05; **= significant at 0.01; ns: not significant; SV= source of variation; Dof= degrees of freedom.

Table 2 Mean squares and statistical significance of F values in the combined analysis of variance (continuation). 

SV Dof WPP NSP NCS NSS WCS WSS W100S YLD
Years (Y) 1 1591.42** 0.08* 1041.2** 14.4 ns 847.34** 668.408** 1026.8* 0.03 ns
Rep (Y) 4 153.35 ns 0.02 ns 27.019 ns 2.28 ns 19.01 ns 6.92 ns 199.37 ns 0.006 ns
Density (D) 3 1131.39** 0.02 ns 79.59** 37.33** 337.28** 39.78* 1182.82** 0.35**
Y*D 3 754.54* 0.018 ns 13.92 ns 15.53* 245.12** 8.14 ns 397.87 ns 0.23*
Error a 12 28.63 0.01 13.97 2.83 22.43 8.9 160.73 0.02
Fertilizers (F) 3 993.73** 0.0005 ns 41.66 ns 18.91* 325.49** 19.42 ns 312.62 ns 0.36**
D*F 9 695.89** 0.02 ns 95.49** 11.81* 366.53** 21.3* 237.57 ns 0.32**
Y*F 3 1186.89** 0.02 ns 11.27** 35.49** 449.35** 135.18** 617.32** 1.12**
Y*D*F 9 942.54** 0.03* 70.25** 20.55** 259.34** 27.35** 372.63* 0.23**
Error b 48 32.74 0.01 10.66 2.56 23.54 5.73 99.23 0.02
Cultivar (C) 2 10629.94** 2.77** 2476.56** 359.41** 3574.05** 78.77** 525176** 4.14**
D*C 6 251.09 ns 0.005 ns 42.76 ns 6.72 ns 274.29** 23.27* 414.94* 0.25**
F*C 6 564.72* 0.006 ns 25.58 ns 10 ns 438.73** 13.6 ns 301.57ns 0.38**
D*F*C 18 1017.38** 0.031** 59.01** 20.86** 432.01** 47.553** 459.71** 0.55**
Y*C 2 6.82 ns 0.014 ns 147.06** 126.21** 93.27 ns 74.17** 619.54* 0.001 ns
Y*D*C 6 560.78* 0.016 ns 48.63* 32.78** 207.92** 65.11** 830.65** 0.42**
E*F*C 6 1473.9** 0.006 ns 102.36** 32.03** 213.31** 98.5** 527.261** 0.52**
Error c 146 222.8 0.012 19.81 5.04 60.32 10.46 153.85 0.08
Total 287

*= significant at 0.05; **= significant at 0.01; ns= not significant; SV= source of variation; Dof= degrees of freedom.

Comparison between trials

It was detected that both years differed statistically. Pérez et al. (2014); Orozco et al. (2013); Orozco et al. (2016); Rojas et al. (2012) concluded that the region formed by the states of Hidalgo, Mexico, Puebla and Tlaxcala is very heterogeneous in soil types, rainfall, altitude above sea level and incidence of frosts and hail. The Tukey test (0.05) indicated that, in 2017, the variables PH, DF, NPP, WPP, NSP, NCS and WCS did not contribute to a better expression in Vicia faba L., and on average, 1.5 t ha-1 in grain was obtained in the two years (Table 3), the state average, higher than that registered in the present study, is 2.23 t ha-1 (SIAP, 2019).

Table 3 Comparison of means between years. 

Years PH HFP NN NB NPB EFF DF NPP WPP NSP NCS NSS WCS WSS W100S YLD (t ha-1)
2017 1.38 a 43.46 b 10.52 a 3.2 b 2.48 b 0.77 b 82.04 a 17.83 a 67.27 a 1.8 a 21.28 a 8.54 b 39.8 a 10.37 b 222.18 b 1.573 a
2018 1.32 b 47.84 a 10.45 a 3.92 a 3.33 a 0.86 a 70.13 b 16.17 b 62.57 b 1.77 b 17.47 b 8.99 a 36.37 b 13.42 a 225.95 a 1.549 a
HLSD 0.017 0.564 0.37 0.15 0.11 0.02 0.57 0.55 1.37 0.02 0.96 0.43 1.21 0.76 3.25 0.04

Means with the same letter within each column are statistically equal (Tukey, p= 0.05).

It has also been observed that the number and weight of pods, seeds per plant and weight of 100 seeds are defined prior to maturity and that these are not significantly affected by environmental conditions (Al-Suhaibani et al., 2013), so these could be used in a plant breeding program to generate or commercially exploit new cultivars of high productivity and greater phenotypic stability.

Comparison between densities (D)

In the present study, it was observed that, at a distance between plants of 20 cm, there were more pods per plant (18.5) (Table 4), but Dahmardeh et al. (2010), Bakry (2011); Al-Suhaibani et al. (2013); Derogar et al. (2014) reported that it decreases as the density increases. The improvement that was observed in PH (1.4 cm) and HFP (47.5 cm) agrees with what was published by Khalil et al. (1993); Al-Suhaibani et al. (2013); El Hag (2017).

At 40 and 50 cm there were more branches and productive branches, results that agree with those of Bakary et al. (2011). The NCS, WCS and YLD had the same behavior at 20, 40 and 50 cm (Abdel-Aziz and Shalaby (1999); Dahmardeh et al. (2010) concluded that the highest seed yield was produced at 20 cm (33 plants m-2). The weight of 100 seeds was higher at high densities, these results are similar to those of Ibrahim and Esmail (1994) (Table 4).

Table 4 Comparison for densities. 

Density (cm) PH HFP NN NB NPB EFF DF NPP WPP NSP NCS NSS WCS WSS W100S YLD (t ha-1)
20 1.4 a 47.5 a 10.65 a 3.34 b 2.74 b 0.82 a 75.84 a 18.54 a 67.04 a 1.78 a 19.72 a 9.55 a 37.73 a 12.5 a 227.39 a 1.57 a
30 1.32 b 45.54 b 10.54 a 3.52 ab 2.84 ab 0.8 a 75.55 a 16.07 b 59.77 c 1.76 a 17.81 b 8.76 a 35.16 b 11 ab 226.41 a 1.46 b
40 1.35 b 44.66 b 10.6 a 3.67 a 3.01 a 0.81 a 76.62 a 16.37 b 64.03 b 1.79 a 19.92 a 7.81 b 39.85 a 10.93 b 224.11 ab 1.57 a
50 1.35 b 44.91 b 10.15 a 3.71 a 3.04 a 0.82 a 76.33 a 17.01 b 68.83 a 1.81 a 20.05 a 8.94 a 39.59 a 12.47 a 218.35 b 1.62 a
HLSD 0.03 1.08 0.72 0.28 0.21 0.04 1.11 1.06 2.64 0.05 1.85 0.83 2.34 1.47 6.27 0.08

Means with the same letter within each column are statistically equal (Tukey, p= 0.05).

The density of plants m-2 has a direct effect on the cost of the seed and on the final yield, so it is necessary to define the optimal population density for each variety and specific environment (Dobocha et al., 2019). According to the results observed in this study, the ideal would be to sow at 40 or 50 cm between plants (31 250 and 25 000 plants ha-1); in the last decade, the price of a kilogram of seed reached up to $75.00. Farmers in the Valley of Mexico sow at 40 cm between plants and 80 cm between furrows (Rojas et al., 2012). In this work, average yields of 1.5 t ha-1 in grain were obtained, almost equal to the national average (1.27 t ha-1).

Comparison between fertilizers

Chicken manure favored PH and HFP but had little effect on other yield components. Peñaloza et al. (2019) reported that, with 4 t ha-1, they obtained 24.3 t ha-1 in potato and more stems and tubers per plant were produced. Kubure et al. (2016) found that the presence of phosphorus in chicken manure favors root development and improves nodulation. Mushroom compost increased the weight of pods per plant (WPP), number of spotted seeds (NSS) and weight of 100 seeds (W100S). These results differ from those of García et al. (2014a), who reported that the application of this from 3 to 5 Mg ha-1 produced more pods and higher yield in beans (Phaseolus vulgaris L.).

In wheat (Triticum aestivum L.), mushroom compost increased chlorophyll (15%), photosynthesis (15%) and yield (10%) (García et al., 2014b). In this study, vermicompost showed improvements in NPP, WPP and WCS (Table 5); Chaich et al. (2018) reported that, with the use of 10% vermicompost tea, the number of flowers, height and number of pods per plant increased in fava bean. Rodriguez et al. (2010), applying 3 t ha-1 of vermicompost, obtained taller plants, with bulbs of greater diameter and better dry weight in spring onion (Allium cepa L.).

Table 5 Comparison of means between fertilizers. 

Fertilizers PH HFP NN NB NPB EFF DF NPP WPP NSP NCS NSS WCS WSS W100S YLD (t ha-1)
Chicken manure 1.39 a 46.61 a 10.66 a 3.55 a 2.927 a 0.82 a 76.138 a 16.223 b 65.49 b 1.79 a 19.31 ab 8.4 b 39.37 ab 12.24 a 225.89 a 1.61 a
Vermicompost 1.35 b 45.61 ab 10.47 a 3.59 a 2.898 a 0.817 a 75.847 a 18.252 a 68.17 a 1.78 a 20.21 a 8.31 b 39.96 a 11.46 a 223.5 ab 1.59 a
M. Compost 1.337 b 44.85 b 10.4 a 3.54 a 2.9 a 0.82 a 75.84 a 16.87 b 66.4 ab 1.78 a 19.6 ab 8.96 ab 37.8 b 12.44 a 225.51 ab 1.58 a
Chemical 1.338 b 45.53 ab 10.42 a 3.58 a 2.91 a 0.8 a 76.52 a 16.65 b 59.5 c 1.78 a 18.38 b 9.4 a 35.2 c 11.44 a 221.36 b 1.45 b
HLSD 0.028 1.57 0.5 0.17 0.19 0.03 0.84 0.92 2.53 0.04 1.44 0.71 2.15 1.06 4.41 0.06

Means with the same letter within each column are statistically equal (Tukey, p= 0.05).

In the production of red tomatoes, worm humus plus humic acid caused a greater number and weight of the fruit (Luna et al., 2016). The results obtained with chicken manure and mushroom compost contrast with those of other studies, where it has been reported that, when combining both, there is greater effectiveness. Orozco et al. (2016) reported that chicken manure plus mushroom compost in 3 t ha-1 resulted in the best phenotypic expression in NN, PH, PP, WPP, WS, W100S, and YLD in seed. Perez et al. (2019) found that vermicompost plus mushroom compost produced 3.61 t ha-1 in fava bean.

In this study, the effect of chicken manure, vermicompost and mushroom compost showed a similar behavior in the weight of 100 seeds and yield and only differed statistically from inorganic fertilization, which caused the lowest averages (Table 5). Husain et al. (2016) reported that sheep manure plus chemical fertilizer increased plant height, number of branches, chlorophyll content and macronutrients in the leaf of fava bean. Diaz et al. (2017) recommended replacing conventional synthetic fertilization by using chicken manure and arbuscular mycorrhiza in cabbage production.

The characteristics of plant, fruit and production in zucchini showed that fertilization with processed chicken manure, mycorrhizal inoculation or their combination, yielded results similar to those caused by inorganic fertilization (Díaz et al., 2016.).

Comparison between cultivars

The collection from Xalatlaco expressed the highest EFF, WPP, WCS, W100S and 1.74 t ha-1 (Table 6). The San Felipe cultivar excelled in PH, HFP, NN and NPP, but these did not contribute to a higher yield (1.3 t ha-1), because its pod and seed size is smaller than that of the other two varieties. The Calimaya cultivar, with more branches and branches with pods, had greater weight of 100 seeds and yield (1.6 t ha-1).

Table 6 Comparison of means between cultivars. 

Cultivars PH HFP NN NB NPB EFF DF NPP WPP NSP NCS NSS WCS WSS W100S YLD (t ha-1)
Xalatlaco 1.3 c 41.49 c 9.71 c 3.5 b 2.9 b 0.83 a 73.85b 16.17b 73.67 a 1.69 b 18.05 b 7.59 b 43.93 a 12.17 a 264.85 a 1.74 a
Calimaya 1.35 b 45.49 b 10.23 b 3.91 a 3.15 a 0.8 b 74.29 b 14.85 c 67.84 b 1.68 b 15.09 c 7.7 b 38.56 b 12.63 a 268.65 a 1.6 b
San Felipe 1.4 a 49.97 a 11.53 a 3.27 c 2.67 c 0.81 c 80.12 a 19.98 a 53.24 c 1.98 a 24.99 a 11 a 31.75 c 10.88 b 138.69 b 1.33 c
HLSD 0.02 1.18 0.31 0.15 0.15 0.02 0.66 1.24 5.1 0.037 1.521 0.76 2.65 1.1 4.23 0.09

Means with the same letter within each column are statistically equal (Tukey, p= 0.05).

Commercially recommended cultivars will have more productive pods and greater leaf efficiency, as suggested by Pérez et al. (2014 and 2019), Yahia et al. (2012), Mohamed et al. (2013). The number of seeds m-2 depends on the number of pods, but, due to the complexity shown by the interactions between cultivars and environments, it is important to define which of the primary and secondary components of the yield are more stable in time and space, so that they contribute to greater productivity in grain and pod.

Principal component analysis

The percentages of variation explainable by principal components 1 (45.3%) and 2 (19.1%) (Figure 1) suggest that the correlations observed in the biplot are reliable. Neal and Mcvetty (1983) concluded that 68.5 to 76.4% of the variability observed in seed yield is related to the number of pods per plant (Singh et al., 1987; Chaieb et al., 2011), seeds per pod (Alan and Geren, 2007), weight of 100 seeds (Baginsky et al., 2013) and seed size. In the above context, a selection index that considers these traits in a plant breeding program could lead to more outstanding varieties.

In the present study, grain yield was mainly explained by an increase in the weights of clean seed and pods per plant, as well as by more branches, branches with pods and greater weight of 100 seeds.

Figure 1 Biplot graph to represent the interrelationships between treatments (number) and variables (letter). Values were averaged over years and repetitions within years. 

Conclusions

Between years, between varieties and between densities, there were highly significant differences (p= 0.01) in 13 of the 16 variables evaluated, at a distance between plants of 20 cm there was more NPP (18.5 cm), PH (1.4 cm) and HFP (47.5 cm), at 40 and 50 cm between plants there was more NB and NPB, but NCS, WCS and YLD had the same behavior at 20, 40 and 50 cm. In organic fertilizers, there was a significant phenotypic differentiation (p< 0.01) in PH, NPP, WPP, WCS and YLD; with chicken manure, higher PH and HFP were obtained. Mushroom compost favored WPP, NSS and weight of 100 seeds (W100S), while vermicompost did so in NPP, WPP and WCS. The three cultivars (C) were significantly different (p= 0.01): Xalatlaco was better in efficiency (EFF), WPP, WCS, W100S and YLD (1.74 t ha-1). In the biplot, it was observed that the combination 40 cm + chicken manure + San Felipe was positively associated with NPP and NCS; 30 cm + vermicompost + Xalatlaco and 50 cm + vermicompost + Xalatlaco produced more NPB. An increase in WPP and NCS caused higher dry grain production.

Literatura citada

Abdel-Aziz, A. and Shalaby, F. H. 1999. Physiological studies on response of new released faba bean varieties to different plant population. Zagazing J. Agric. Res. 26 (5):1229-1244. [ Links ]

Afreh, D.; Zhang, J.; Guan, D.; Liu, K.; Song, Z.; Zheng, C.; Deng, A.; Feng, X.; Zhang, X.; Wu, Y.; Huang, Q. and Zhang, W. 2018. Long-term fertilization on nitrogen uses efficiency and greenhouse gas emissions in a double maize cropping system in subtropical China. Soil Tillage Res. 180(1):259-267. [ Links ]

Aguiñaga, B. A.; Medina, D. K. y Garruña, H. R. 2020. Efecto de abonos orgánicos sobre el rendimiento, valor nutritivo y capacidad antioxidante de tomate verde (Physalis ixocarpa). Acta Universitaria Multidisciplinary Scientific Journal. 30(1):1-14. [ Links ]

Alan, O. and Geren, H. 2007. Evaluation of heritability and correlation for seed yield components in Faba Bean (Vicia faba L.). Agron. J. 6(3):484-487. [ Links ]

Al-Suhaibani, N.; El Hendawy, S. and Schmidhater, U. 2013. Influence of varied plant density on growth, yield and economic return of drip irrigated faba bean (Vicia faba L.) Turkish J. Field Crops. 18(2):185-197. [ Links ]

Álvarez, S. J.; Gómez, V. D. A.; León, M. N. S. y Gutiérrez, M. F. A. 2010. Manejo integrado de fertilizantes y abonos orgánicos en el cultivo de maíz. Agrociencia. 44(5):575-586. [ Links ]

Ayaz, S.; Mckenzie, B.; Hill, G. and Mcneil, D. 2004. Variability in yield of four grain legume species in a subhumid temperate environment. II. Yield components. J. Agric. Sci. 142(1):9-19. [ Links ]

Bakry, B. A.; Elewa, T. A.; El Karamany, M. F.; Zeidan, M. S. and Tawfik, M. M. 2011. Effect on row spacing on yield and its components of some Faba bean varieties under newly reclaimed sandy soil condition. World Journal of Agricultural Sciences7(1):68-72. [ Links ]

Baginsky, C.; Silva, P.; Auza, J. and Acebedo, E. 2013. Evaluation for fresh consumption of new broad bean genotypes with a determinate growth habit in central Chile. Chil. J. Agric. Res. 73(3):225-232. [ Links ]

Bazán, B. F.; León, S. R.; Ling, L. A. M.; Alarcón, M. P.; Linares, P. G.; Zuiko, F. A.; Pérez, S. J.; Canales, S. L.; Valer, B. F. y Mora, A. A. 2014. Producción y uso de abonos orgánicos: Biol, Humus y Compost. Manual Técnico No. 5. Fondo de Cooperación para el Desarrollo Social, Lima, Perú. 44 p. [ Links ]

Bertoli, H. M. P.; Terry, A. E. y Ramos, A. D. 2015. Producción y uso del abono orgánico Tipo Bocashi. Una alternativa para la nutrición de los cultivos y la calidad de los suelos. Instituto Nacional de Ciencias Agrícolas. Mayabeque, Cuba. 50 p. [ Links ]

Chaichi, W.; Djazouli, Z.; Zebib, B. and Merah, O. 2018. Effect of vermicompost tea on faba bean growth and yield. Compost Science and Utilization. 1-5 pp. [ Links ]

Chaieb, N.; Mohammed, B. and Mars, M. 2011. Growth and yield parameters variability among faba bean (Vicia faba L.) genotypes. J. Nat. Produc. Plant Resour. 1(2):81 -90. [ Links ]

Castelo, G. A. A.; García, M. H. A.; Castro, E. L.; Lares, V. F.; A. G. M.; Figueroa, L. P. y Gutiérrez, C. M. A. 2016. Compost de residuos de champiñón como mejorador de suelo y biofertilizante en producción de tomate. Rev. Chapingo Ser. Hortic. 22(2):83-93. [ Links ]

Crepón, K.; Marget, P.; Peyronnet, C.; Carrouée, B.; Arese, P. and Duc, G. 2010. Nutritional value of faba bean (Vicia faba L.) seed for feed and food. Field Crops Res. 115 (3):329-339. [ Links ]

Cucci, G.; Lacolla, G.; Summo, C. and Pasqualone, A. 2019. Effect of organic and mineral fertilization on faba bean (Vicia faba L.). Sci. Hort. 243(1 ):338-343. [ Links ]

Dahmardeh, M.; Ramroodi, M. and Yalizadh, J. 2010. Effect of plant density and cultivar on growth, yield and yield components of faba. Afr. J. Biotechnol. 9(50):8643-8647. [ Links ]

Derogar, N.; Mojaddam, M. and Nejad, T. S. 2014.The effect of plant population on growth parameters and seed yield Faba bean. Int. J. Biosc. 4(3):149-157. [ Links ]

Díaz, B. M.; Herrera, C. B. E.; Ramírez, J. J.; Aliphat, F. M. y Delgado, A. A. 2008. Conocimiento campesino en la selección de variedades de haba (Vicia faba L.) en la sierra norte de Puebla, México. Interciencia. 33(8):610- 615. [ Links ]

Díaz, F. A.; Alvarado, C. M.; Alejandro, A. F. y Ortiz, C. F. E. 2016. Crecimiento, nutrición y rendimiento de calabacita con fertilización biológica y mineral. Rev. Int. Contam. Amb. 32(4):445-453. [ Links ]

Díaz, F. A.; Alvarado, C. M.; Alejandro, A. F. y Ortiz, C. F. E. 2017. Uso de abonos orgánicos y micorriza arbuscular en la producción de repollo. Rev. Chapingo Ser. Zonas Áridas. 16(1):15-21 . [ Links ]

Dobocha, D.; Worku, W.; Bekela, D.; Mulatu, Z.; Shimelos, F. and Admasu. A. 2019. The response of faba bean (Vicia faba L.) varieties as evaluated by varied plant population densities in the highlands of Arsi zone, southeastern Ethiopia. Bionatura Latin American J. of Biotechnol. and Life Scien. 4 (2):846-851 . [ Links ]

El Hag, D. A. A. 2017. Impact of plant arrangement and density on yield and its components of two faba bean cultivars (L.). J. Plant Production Mansoura Univ. 8(12):1345-1350. [ Links ]

Estrada, C. R.; Jaramillo, J.; Aragón, A.; Juárez, D. y Patrón, J. C. 2017. Productividad forrajera de haba bajo diferentes condiciones de manejo. Rev. Agron. Costarricense. 41 (1):95-103. [ Links ]

Félix, H. J. A.; Sañudo, T. R. R.; Rojo, M. G.E.; Martínez, R. R. y Olalde, P. V. 2008. Importancia de los abonos orgánicos. Rev. Ra Ximhai. 4(1):57-67. [ Links ]

Fidanza, M. A.; Sanford, D. L.; Beyer, D. M. and Aurentz, D. J. 2010. Analysis of fresh mushroom compost. HortTechnology. 20(2):449-53. [ Links ]

García, M. H. A.; Balderrama, C. P. J.; Castro, E. L.; Mungarra, I. C.; Arrellano, G. M.; Martínez, J. L. y Gutiérrez, C. M. A. 2014a. Efecto del abono de sustrato gastado de champiñón en el rendimiento de frijol (Phaseolus vulgaris L.). Terra Latinoam. 32(1 ):69-76. [ Links ]

García, M. H. A.; Castro, E. L.; Guzmán, F. E.; Mungarro, I. C.; Arrellano, G. M.; Martínez, C. J. L. y Gutiérrez, C. M. A. 2014b. Aplicación de composta base de champiñon enriquecida con silicio, en trigo (Triticum spp.). Agrociencia . 48(7):691 -702. [ Links ]

Gai, X.; Liu, H.; Liu, J.; Zhai, L.; Yang, B.; Wu, S.; Ren, T.; Lei, Q. and Wang, H. 2018. Long-term benefits of combining chemical fertilizer and manure applications on crop yields and soil carbon and nitrogen stocks in north china plain. Agric. Water Manag. 208(1 ):384-392. [ Links ]

Gezahegn, A. M.; Tesfaye, K.; Sharma, J. J. and Belel, M. D. 2016. Determination of optimun plant density for faba bean (Vicia faba L.) on Vertisols at Haramaya Eastern Ethiopia. Food and Agricultura. 2(1 ):1 -10. [ Links ]

Husain, J. A.; Ahmed, A. H. and Musa, A. H. 2016. Effect of chemical and organic soil fertilizers and their interactions with some foliar fertilizers on growth and yield of broad bean (Vicia faba L.). Annals of West University of Timisoara Ser. Biology. 19(2):149-156. [ Links ]

Ibrahim, M. F. A. and Esmal, S. E. 1994. Growth and yield of faba bean plants as affected by the plant densities, phosphorus and iron. Menufiya J. Agric. Res. 19(5):2185-2199. [ Links ]

Kalia, P. and Sood, S. 2004. Genetic variation association analyses for pod yield and other agronomic and quality characters in an Indian Himalayan collection of broad bean (Vicia faba L.). SABRAD. J. Breed. Genet. 36(2):55-61 . [ Links ]

Kubure, T. E.; Cherukuri, V. R.; Arvind, C.; Hamza, I. 2015. Effect of faba bean (Vicia faba L.) genotypes, plant densities and phosphorus on productivity, nutrient uptake, soil fertility changes and economics in central high lands of Ethiopia. Int. J. of Life Scien. 3(4):287-305. [ Links ]

Kubure, T. E.; Raghavaiah, C. V. and Hanza, I. 2016. Production potencial de faba bean (Vicia faba L.) genotypes in relation to plant densities and phosphorus nutrition on Vertisol of Central highlands of west Showa zone, Ethiopia, East Africa. Adv. Crop Sci. Technol. 4(2):1 -9. [ Links ]

Luna, M. R. A.; Reyes, P. J. J.; Espinosa, C. K. A.; Luna, M. M. V.; Luna, Q. F. V.; Celi, M. M. V.; Espinoza, C. A. L.; Rivero, H. M.; Cabrera, B. D. A.; Alvarado, M. A. F. y González, R. J. C. 2016. Efecto de diferentes abonos orgánicos en la producción de tomate (Solanum lycopersicum L.). Universidad de Sonora. Biotecnia. 18(3):33-36. [ Links ]

Mohamed, O. A. A.; Abdel, A. H. A. A. and Bakheit, G. M. 2013. Correlation between seed yield components in faba bean (Vicia faba L.). Adv. Environ. Biol. 7(1 ):82-85. [ Links ]

Mohamed, A. M. E. and Rashed, M. F. S. 2020. Effect of organic fertilizer rates and sulfur on growth and productivity of broad bean under south sinai conditions. Egyptian J. Desert. Res. 70(2):137-151 . [ Links ]

Orozco, C. N.; Pérez, L. D. J.; González, H. A.; Franco, M. O.; Gutiérrez, R. F.; Rubí, A. M.; Castañeda, V. A. y Balbuena, M. A. 2013. Identificación de poblaciones sobresalientes de haba colectadas en el Estado de México. Rev. Mex. Cienc. Agríc. 4(6):921 -932. [ Links ]

Orozco, H. L. A.; Pérez, L. D. J.; González, H. A.; Franco, M. O.; Rubi, A. M. y Aguilera, G. L. I. 2016. Efecto de Glomus fasciculatum y su relación con tres abonos orgánicos en dos cultivares de haba. Rev. Mex. Cienc. Agríc. 7(6):1421 -1437. [ Links ]

Peñaloza, M. J.; Reyes, R. A. K.; González, H. A.; Pérez, L. D. J. y Sangerman- Jarquín. D. M. 2019. Fertilización orgánica con tres niveles de gallinaza en cuatro cultivares de papa. Rev. Mex. Cienc. Agríc. 10(5):1139-1149. [ Links ]

Pérez, L. D. J.; González, H. A.; Franco, M. O.; Rubí, A. M.; Ramírez, D. J. F.; Castañeda, V. A. y Aquino, M. J. G. 2014. Aplicación de métodos multivariados para identificar cultivares sobresalientes de haba para el estado de México, México. Rev. Mex. Cienc. Agríc. 5(2):264-279. [ Links ]

Pérez, L. D. J.; González, H. A.; Bernal, L. J. M.; Rubí, A. M.; Gutiérrez, R. F.; Ramírez, D. J. F. y Franco, M. J. R. P. 2019. Efecto de abonos orgánicos e inorgánicos en haba. In: temas selectos en la innovación de las ciencias agropecuarias. (Comp.). Salgado, S. M. L.; Villanueva, C. A.; Gutiérrez, C. A. del C.; William, G.; López, G. F. y Jaimes, A. J. E. 1 a (Ed.). Alfaomega. 112-130. [ Links ]

Rodríguez, O. J. C.; Loredo, O. C.; Alcántara, J. J. A.; Beltrán, S. L.; Tapia, G. J. de J.; Villar, M. C. y García, H. J. L. 2010. Efecto de dosis y momento de aplicación de lombricomposta en la producción de cebollita cambray: agricultura orgánica-Agrofaz. 10(2):99-106. [ Links ]

Rojas, T. J. R.; Díaz, R. F.; Álvarez, G. J.; Ocampo, M. y Escalante, E. A. 2012. Tecnología de producción de haba y características socioeconómicas de productores en Puebla y Tlaxcala. Rev. Mex. Cienc. Agríc. 3(1 ):35-49. [ Links ]

Sarmiento, S. G. J.; Amézquita, A. M. A. y Mena, C. L. M. 2019. Uso de bocashi y microorganismos eficaces como alternativa ecológica en el cultivo de fresa en zonas áridas. Scientia Agropecuaria. 10(1):55-61 . [ Links ]

SIAP. 2019. Servicio de Información Agroalimentaria y Pesquera. Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación. (SAGARPA). Cierre de la Producción Agrícola por Estado. Producción nacional de haba para grano. http//www.siap.gob.mx. [ Links ]

SAS. 1988. Statistical Analysis System. SAS/STAT User’s Guide-Release 6.03 edition Cary, NC. SAS Institute, Inc.1028 p. [ Links ]

Singh, S. P.; Singh, N. P. and Pandey, R. K. 1987. Irrigation studies in faba bean. FABIS Newsletter. 18(1):24-26. [ Links ]

Vioque, J.; Alaiz, M. y Girón-Calle, J. 2012. Nutritional and functional properties of Vicia faba protein isolates and related fractions. Food Chemistry. 132(1):67-72. [ Links ]

Volpelli, L. A.; Comellini, M.; Masoero, F.; Moschini, M.; Lo Fiego, D. P. and Scipioni, R. 2010. Faba beans (Vicia faba) in dairy cow diet: effect on milk production and quality. Italian J. Animal Sci. 9(27):138-144. [ Links ]

Yahia, Y.; Guetat, A.; Elfalleh, W.; FeRchichi, A.; Yahia, H. and Loumerem, M. 2012. Analysis of agromorphological diversity of southern Tunisia faba bean (Vicia faba L.) germplasm. Afrir. J. Biotechnol. 11(56):11913-11924. [ Links ]

Received: December 01, 2021; Accepted: February 01, 2022

Creative Commons License Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons