Genotype by environment interaction and chickpea improvement.

Berger, Jens; Speijers, Jane; Sapra, R. L.; Sood, Usha; Yadav, Sanjay; Redden, R. J.; Chen, W.; Sharma, Bablu

doi:10.1079/9781845932138.030

Cited by 10 publications

(8 citation statements)

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“…Seed storage constituents such as protein and starch are affected by both genetic make‐up and the environment 11, 12. Several reports have shown the effect of genotype × environment interaction on chickpea yield and some agronomic characters 13. An extensive study of 23 chickpea genotypes grown at 37 (1985–1986) and 39 (1986–1987) locations in western Asia, North Africa, Mediterranean Europe and Latin America revealed significant differences in seed yield 14.…”

Section: Introductionmentioning

confidence: 99%

Genotype and growing environment influence chickpea (Cicer arietinum L.) seed composition

et al. 2009

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Section: Introductionmentioning

confidence: 99%

Genotype and growing environment influence chickpea (Cicer arietinum L.) seed composition

et al. 2009

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“…La adecuada definición del ambiente y la caracterización de la respuesta de los genotipos en forma integrada, contribuirá a una mejor comprensión de la productividad media (adaptación) de los distintos genotipos y variaciones (estabilidad) de los mismos, y permitirá entender y aprovechar la inevitable interacción genotipo x ambiente (Berger et al, 2007).…”

Section: Introductionunclassified

“…The proper definition of the environment and the characterization of the response of genotypes in an integrated way, contribute to a better understanding of the average productivity (adaptation) of different genotypes and variations (stability) of them, and you understand and exploit the inevitable genotype x environment interaction (Berger et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Interacción genotipo-ambiente en garbanzo blanco de semilla extra grande en el noroeste de México

Leyva¹,

Murrieta²,

Gallegos

et al. 2017

Remexca

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En México el garbanzo blanco (Cicer arietinum L.) de grano grande para exportación se siembra en los estados de Sonora, Sinaloa y Baja California Sur. En el 90% de la superficie de siembra se utiliza la variedad Blanco Sinaloa 92, la cual se ha sembrado por más de 20 años. El objetivo fue analizar la Interacción Genotipo-Ambiente (IGA) de 16 líneas avanzadas y dos variedades comerciales, e identificar localidades de baja IGA, y las líneas de mayor rendimiento y peso de grano (número de granos en 30 g). Los 18 genotipos se establecieron durante el ciclo otoño-invierno 2011-2012 bajo condiciones de riego o temporal (humedad residual) en un diseño de bloques completos al azar en siete ambientes en Sonora, Sinaloa y Baja California Sur. El análisis de la IGA se realizó con el modelo AMMI. En rendimiento y peso de grano se detectaron diferencias significativas entre ambientes, genotipos e interacción genotipo-ambiente (p< 0.05). Los ambientes de mayor rendimiento fueron Santo Domingo, BCS con 3.63 t ha-1 bajo un sistema de riego por goteoyenNavojoa,Sonora,bajoriegotradicionalcon2.91t ha-1, con diferencia significativa entre ellos y con el resto de ambientes. Los genotipos de mayor rendimiento promedio fueron Hoga 2001-2-2 con 2.72 t ha-1 y Hoga 2002-6-3 con 2.60 t ha-1, sólo el primero fue significativamente superior (p< 0.05) a los testigos Blanco Sinaloa 92 y Blanoro. En peso del grano, las localidades Culiacán, Sinaloa., Hermosillo, Sonora, y La Angostura, Sinaloa, fueron las de mayor tamaño con 41, 47 and 47 granos en 30 g, respectivamente. El ambiente Hermosillo fue el más alejado del origen, con mayor capacidad de discriminación, en tanto que Culiacán, Navojoa y Santo Domingo fueron los de menor interacción y representan ambientes donde se pueden seleccionar variedades estables.

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“…Multi-location adaptability test is one key point to obtain plant genotypes that can be further grown and developed widely. This test is generally used to evaluate the target plants in a widely distributed area where the plants to be grown [8], [9] states that multi-location test is aimed at studying the yield potential and adaptability of plant genotypes at different locations. Furthermore, the test is also designed to obtain high yield genotypes that are widely adaptive to various and/or specific location to increase wheat grain production in the area.…”

Section: Introductionmentioning

confidence: 99%

Studies on Wheat (Triticum aestivum L.) Adaptability in The Province of West Sumatera, Indonesia

Chaniago

Suliansyah

Kasim

et al. 2014

International Journal on Advanced Science, Engineering and Information Technology

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Investigations were conducted at nine locations with elevation ranging from 570 to 1616 m above sea level in the Province of West Sumatera, Indonesia to evaluate the performance of some wheat genotypes originated from Slovak Republic. The experiments had been conducted from July to December 2011. The treatment consisted of 12 genotypes of Slovakian wheats (SO-1, SO-2, SO-3, SO-4, SO-5, SO-6, SO-7, SO-8, SO-9, SO-10, IS-Jarissa, and IS-1247) together with two wheat genotype of Indonesian origin (Nias and Dewata). The experimental units were arranged in a Completely Randomized Block Design with three replicates. Results indicated that most wheat genotypes exhibited similar characters examined while few others exhibited superior characters. Genotype Dewata had superior grain yield compared to the other genotypes. Some genotypes of Slovakian wheat (SO-3, SO-8, SO-9, dan SO-10) have good potentials in the following variables of time to heading, time to harvest, number of productive tillers, number of seeds per earing, seed weight per earing, and yield.

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Genotype by environment interaction and chickpea improvement.

Cited by 10 publications

References 0 publications

Genotype and growing environment influence chickpea (Cicer arietinum L.) seed composition

Genotype and growing environment influence chickpea (Cicer arietinum L.) seed composition

Interacción genotipo-ambiente en garbanzo blanco de semilla extra grande en el noroeste de México

Studies on Wheat (Triticum aestivum L.) Adaptability in The Province of West Sumatera, Indonesia

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