Genotype by environment interactions of twenty accessions of cowpea [Vigna unguiculata (L.) Walp.] across two locations in Nigeria

Odeseye, Adebola Olayemi; Amusa, N. A.; Ijagbone, Ighodalo Folorunso; Aladele, S. E.; Ogunkanmi, L.A.

doi:10.1016/j.aasci.2018.03.001

Cited by 19 publications

(13 citation statements)

References 6 publications

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“…In this study, all the genotypes demonstrated little variation in yield and other traits across the two locations with the exception of TGX1448-2E which differed significantly in pod weight and seed yield (Table 3). This consistency or little variation in yield of most of the genotypes across the environments showed general adaptation as observed by Adeseye et al (2018). Similar findings were obtained by Yan and Tinker (2006); Jose et al (2017) who reported small variation between two locations in respect to days to flowering in cowpea.…”

Section: Discussionsupporting

confidence: 86%

Genotype-by-environment interaction and stability analysis of soybean genotypes for yield and yield components across two locations in Nigeria

Jandong¹,

Uguru²,

Okechukwu³

2019

Afr. J. Agric. Res.

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A multilocational evaluation of 20 soybean genotypes was conducted in two distinct locations (Nsukka in Derived Savanna agro-ecology and Jalingo in Northern Guinea Savanna) of Nigeria in 2015 and 2016 cropping seasons. The experiments were laid out in an Alpha lattice design and replicated three times in each location. The main objective of the research was to determine the genotype-by-environment interaction (G x E) for specific traits and yield stability. The results revealed highly significant differences among the genotypes and locations for all the traits except for seed yield. Genotype x environmental interaction was not significant for most of the traits except days to 50% flowering indicating relative consistency in time of flowering among the genotypes across the locations and year. The genotype, Ashuku produced the highest yield in the two locations. However, the most stable genotypes across the locations were Dadinkowa and Vom while the ideal environments were Jalingo 2016 (ENV2) and Nsukka 2016 (ENV4) which produced 14.0g and14.5g, respectively. Similarly, Akwanga was discriminated as the overall best genotype across the two locations.

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Section: Discussionsupporting

confidence: 86%

Genotype-by-environment interaction and stability analysis of soybean genotypes for yield and yield components across two locations in Nigeria

Jandong¹,

Uguru²,

Okechukwu³

2019

Afr. J. Agric. Res.

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“…With particular interest to note is TGX1485-1D that recorded the same value for 100 seed weight (14.00 g) across the two locations. This consistent or little variation in performance of a genotype across the environments showed general adaptation as observed by Adeseye et al (2018). It was also observed that there were variations between the two locations with respect to days to flowering especially in Kafanchan, Langtang, TGX1448-2E and TGX1835-10E.…”

Section: Discussionsupporting

confidence: 66%

Genotypeenvironment interaction and stability analysis of soybean genotypes for yield and yield components across two locations in Nigeria

Ong¹,

Uguru²,

Okechukwu³

2019

Afr. J. Agric. Res.

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A multilocational evaluation of 20 soybean genotypes was conducted in two distinct locations (Nsukka in Derived Savanna agro-ecology and Jalingo in northern Guinea Savanna) of Nigeria in 2015 and 2016 cropping seasons. The main objective of this study was to assess the genotype-by-environment interaction (G x E) for specific traits such as number of pods, pod weight, seed yield and yield stability. The results revealed highly significant differences among the genotypes and locations for all the traits except for seed yield. Genotype by environment interaction was not significant for all the traits except for days to 50% flowering indicating relative consistency in time of flowering among the genotypes across the locations and year. The genotype, Ashuku produced the highest yield in the two locations. However, the most stable genotypes across the locations were Dadinkowa and Vom while the ideal environments were Jalingo 2016 (ENV2) and Nsukka 2016 (ENV4) which produced 14.0 and 14.5 g, respectively. Similarly, Akwanga was discriminated as the overall best genotype across the two locations.

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“…The mean value of plant height for all locations in all rounds of forage harvesting stage is presented in (Fahad et al, 2017) were mainly due to the wider response of genotypes to the environment. The consistency of genotypes across environments enables breeders to make effective evaluation of genotypes with minimum cost in a few environments (Adebola et al, 2018). In this regard, the present study showed consistency in plant height for genotype FGI-8091 followed by FGI-3054 and FGI-0916.…”

Section: Plant Height and Forage Yield At Harvestsupporting

confidence: 51%

Adaptability, forage yield and nutritional quality of alfalfa (Medicago sativa) genotypes

Atumo

Kauffman

Talore³

et al. 2021

Sustainable Environment

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Livestocks fed with high-quality forage deliver better milk and meat, which could benefit the nutritional health of their keepers and consumers. Six alfalfa genotypes were assessed across four locations, Arba Minch, Areka Mante Dubo, Bonga and Hawassa Dilla, for adaptability, forage dry matter (DM) yield, crude protein (CP) concentration, nutrient composition and digestibility characteristics from August 2016 to January 2019. The genotypes were evaluated in a randomized complete block design with four replications. Plant height at forage harvest was significantly (P < 0.001) varied across the environment among genotypes. Nutrient components, such as neutral detergent fiber, acid detergent fiber and lignin, hemicelluloses, in vitro DM digestibility and relative feed value, were significantly (P < 0.01) different for genotype variations. The highest mean DM yield was recorded for FGI-9001 followed by FGI-3054. The highest plant height was recorded for FGI-8091 (60.13 cm), while the shortest genotype was FGI-1011. CP yield was recorded above the threshold level for all genotypes in the test. Highest in vitro DM digestibility and relative feed value with the lowest neutral detergent fiber, acid detergent fiber, and lignin and cellulose contents were recorded for FGI-9001. Tested alfalfa genotypes varied in terms of forage yield and nutritional quality at different locations. Thus, the result indicates the potential of genotypes, indicating the promotion to advanced varietal evaluation stages including animal test and release as better alternatives for use in the farming system in rain fed condition and irrigation.

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Genotype by environment interactions of twenty accessions of cowpea [Vigna unguiculata (L.) Walp.] across two locations in Nigeria

Cited by 19 publications

References 6 publications

Genotype-by-environment interaction and stability analysis of soybean genotypes for yield and yield components across two locations in Nigeria

Genotype-by-environment interaction and stability analysis of soybean genotypes for yield and yield components across two locations in Nigeria

Genotypeenvironment interaction and stability analysis of soybean genotypes for yield and yield components across two locations in Nigeria

Adaptability, forage yield and nutritional quality of alfalfa (Medicago sativa) genotypes

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