Performance of elite maize genotypes under selected sustainable intensification options in Kenya

Rusinamhodzi, Léonard; Makumbi, Dan; Njeru, James; Kanampiu, Fred

doi:10.1016/j.fcr.2020.107738

Cited by 13 publications

(4 citation statements)

References 39 publications

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“…Similar to this, O'Leary and Smith (1999) obtained higher maize grain yield from sole cropping than maize inter cropped with bean and clover. The result showed the existence yield penalty due to inter cropping when we see the overall effect but individual there were some genotypes which had higher yield under inter cropping compared with performance under sole cropping and in line with this finding, Rusinamhodzi et al (2020) reported as intercropping had maize yields reduction effect due to increased competition. When genotypes were compared in terms of yield reduction/deviation due to intercropping, most the genotypes showed reduction/negative deviation except for genotype-4 and genotype-8 ( Figure 1).…”

Section: Mean Performance Of the Genotypessupporting

confidence: 76%

Performance evaluation and selection of new maize hybrids under sole and inter crop production systems

Mekasha¹,

Seyoum²,

Lemma³

2020

J. Plant Breed. Crop Sci.

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Screening of maize genotypes under different cropping systems (sole and inter cropping) is very important to understand the genotypes response for different abiotic and a biotic stress. Nine maize genotypes including the standard check (BH-543) were planted and evaluated at research and farmers' fields in the 2011 and 2012 cropping seasons. Farmers were invited to evaluate the genotypes based on their criteria of selection. Hawassa-Dume common bean variety was used for intercropping purpose in 2012. The genotypes substantially varied for yield and other traits both under sole and intercropping systems. When combined across seasons, the high yielding genotypes, genotype-1 and genotype-5 showed 38 and 37% yield advantage over the standard check. Besides, genotypes markedly varied for their compatibility for intercropping system with land equivalent ratio (LER) <1 for most of genotypes. However, genotype-4 and genotype-8 had LER >1 highlighting the need to evaluate genotypes for intercropping system at early stage of breeding.

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Section: Mean Performance Of the Genotypessupporting

confidence: 76%

Performance evaluation and selection of new maize hybrids under sole and inter crop production systems

Mekasha¹,

Seyoum²,

Lemma³

2020

J. Plant Breed. Crop Sci.

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“…In similar regions intercropped with a legume, cereal grain yields may increase up to 55% compared to cereal alone [28] through improvement of the soil moisture due to soil covering, which limits evapotranspiration [29]. However, research has demonstrated that in some cases, intercropping may reduce cereals yields by 10% due to increased competition for resources [30]. This points out challenges related to setting adapted management strategies, in particular, planting date offsets between the main and secondary crops depending on the start and variability of the seasonal rainfall.…”

Section: Cowpea Varieties Under Intercroppingmentioning

confidence: 99%

On-Farm Evaluation on Yield and Economic Performance of Cereal-Cowpea Intercropping to Support the Smallholder Farming System in the Soudano-Sahelian Zone of Mali

et al. 2020

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Cereal-cowpea intercropping has become an integral part of the farming system in Mali. Still, information is lacking regarding integrated benefits of the whole system, including valuing of the biomass for facing the constraints of animal feedings. We used farmers’ learning networks to evaluate performance of intercropping systems of millet-cowpea and sorghum-cowpea in southern Mali. Our results showed that under intercropping, the grain yield obtained with the wilibali (short maturing duration) variety was significantly higher than the yield obtained with the sangaranka (long maturing duration) variety whether with millet (36%) or sorghum (48%), corresponding, respectively, to an economic gain of XOF (West African CFA franc) 125 282/ha and XOF 142 640/ha. While for biomass, the yield obtained with the sangaranka variety was significantly higher by 50% and 60% to that of wilibali with an economic gain of XOF 286 526/ha (with millet) and XOF 278 516/ha (with sorghum). Total gain obtained with the millet-cowpea system was significantly greater than that obtained with the sorghum-cowpea system by 14%, and this stands irrespective of the type of cowpea variety. Farmers prefer the grain for satisfying immediate food needs instead of economic gains. These results represent an indication for farmer’s decision-making regarding cowpea varieties selection especially for addressing household food security issues or feeding animals.

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“…Diversos métodos estadísticos multivariados han sido desarrollados para analizar e interpretar la IGA, siendo uno de ellos el modelo de efectos principales aditivos e interacción multiplicativa, AMMI, propuesto por Gauch y Zobel (1988) y usado frecuentemente en la actualidad por muchos autores en diversos trabajos (Adnan et al, 2020;Mudada et al, 2017;Rusinamhodzi et al, 2020). El método AMMI utiliza el análisis de varianza (ANOVA), seguido del análisis de componentes principales aplicado a la suma de cuadrados, que, de acuerdo al ANOVA, le corresponden a la interacción genotipo x ambiente.…”

Section: Introductionunclassified

“…El método AMMI utiliza el análisis de varianza (ANOVA), seguido del análisis de componentes principales aplicado a la suma de cuadrados, que, de acuerdo al ANOVA, le corresponden a la interacción genotipo x ambiente. Se basa en un modelo estadístico lineal-bilineal (Crossa et al, 2000), en el que los efectos principales de genotipos y de ambientes, considerados términos lineales, se explican mediante un análisis de varianza convencional, mientras que el componente bilineal (no aditivo) se le atribuye a la interacción genotipo × ambiente y se analiza mediante la técnica de componentes principales (Falcon et al, 2020;García et al, 2020;Ngaboyisonga et al, 2016;Paz et al, 2018;Rusinamhodzi et al, 2020). La metodología de análisis y los principios estadísticos y científicos que sustentan este método han sido detallados en el pasado en trabajos previos (Gauch y Zobel., 1996;Vargas y Crossa., 2000;Yan et al, 2007).…”

Section: Introductionunclassified

Uso del modelo AMMI para el análisis de la interacción genotipo ambiente en variedades de maíz amiláceo de Tayacaja, Perú

Mendoza¹,

Castro²,

Rosales³

et al. 2021

RevTaya

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La interacción genotipo por ambiente (IGA) resulta la principal limitante para seleccionar los mejores genotipos para diversos ambientes. El objetivo de este estudio fue utilizar el modelo de efectos principales aditivos e interacción multiplicativa (AMMI) para evaluar la IGA de 25 variedades de maíz amiláceo. La información fue generada en cuatro ensayos establecidos en ambientes contrastantes de la provincia de Tayacaja, Perú, en el ciclo del cultivo 2019 – 2020. Se utilizó el diseño alfa látice 5x5, con tres repeticiones, en donde las unidades experimentales estuvieron constituidas por dos hileras de 4 m de longitud, con arreglos espaciales de 0,80 m entre hileras y 0,20 m entre puntos de siembra. La IGA se midió a través del rendimiento de grano, ajustado a 15 % de humedad. Una vez comprobada la importancia de la IGA en los experimentos, se realizó el análisis multivariado, para obtener los valores singulares de los términos AMMI que resultaron significativos para genotipos y ambientes. La IGA resultó altamente significativa y explicó alrededor del 33 % de la variación fenotípica del rendimiento. El modelo AMMI explicó alrededor del 92 % de la variación debida a la IGA, en donde los dos primeros ejes concentraron toda esta variación y permitieron identificar variedades con adaptación específica y otras con amplia adaptación a los ambientes de prueba. Los resultados sugieren que el modelo AMMI fue apropiado para evaluar la IGA y para identificar las mejores variedades para cada ambiente de prueba.

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Performance of elite maize genotypes under selected sustainable intensification options in Kenya

Cited by 13 publications

References 39 publications

Performance evaluation and selection of new maize hybrids under sole and inter crop production systems

Performance evaluation and selection of new maize hybrids under sole and inter crop production systems

On-Farm Evaluation on Yield and Economic Performance of Cereal-Cowpea Intercropping to Support the Smallholder Farming System in the Soudano-Sahelian Zone of Mali

Uso del modelo AMMI para el análisis de la interacción genotipo ambiente en variedades de maíz amiláceo de Tayacaja, Perú

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