Genetic Variation for Yield and Yield Components in Sole Soybean and Soybean/Celosia Inter-Crop in Makurdi (Southern Guinea Savanna Ecology), Nigeria

Ojo, G. O. S.; Odoba, A

doi:10.9734/jeai/2017/29137

Cited by 2 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A large grain yield variation, explained by environment was diverse and major part of variation in grain yield can be a result of changes in environment. This observation is consistent with the findings of Ojo et al [16] on soybean grain yield at different locations at the Teaching and Research Farm of the University of Agriculture Makurdi, within the Southern Guinea Savanna Agro-ecological zone of Nigeria.…”

Section: Resultssupporting

confidence: 92%

Genotype by Environment Interaction in Soybean and its Implications for Crop Improvement

Adediran

Ayo-Vaughan

Ariyo

et al. 2023

IJPSS

View full text Add to dashboard Cite

Adequate production of soybean [Glycine max (L.) Merr.] in Nigeria depends on selection of varieties combining high grain yield with stability. Soybean farmers are recurrently faced with the limitation of selecting the best genotype for available environments at their disposal for the production of this crop. Soybean genotypes (23) and two landraces were therefore evaluated in three environments: Abeokuta, Ibadan upland and Ibadan in-land valley in 2017 to select genotype that combines high yield and stability. The experiment in each environment was arranged in a randomized complete block design with three replicates. Data were collected on grain yield and yield component characters. The grain yield data were analyzed using genotype + genotype x environment interaction (GGE) biplot to select desirable genotypes for grain yield and stability; the yield component data were also analyzed using analysis of variance (ANOVA). The variation attributable to G by E interaction was significant except number of branches per plant. Abeokuta was identified as the most representative environment for soybean production. The genotypes TGX 2007-4F, TGX 2016-2E and TGX 2007-1F were the best yielding genotypes in the most discriminating environment – Ibadan upland, thus highly recommended for that specific location. Genotype TGX 2027-7E (G25) was the most stable genotype but was low yielding. Genotypes TGX 2027-3E, TGX 2016-2E, TGX 2007-4F, TGX 2009-1F and TGX 2027-4E, which combined high yield and stability, can be recommended to growers in these three (or similar) environments.

show abstract

Section: Resultssupporting

confidence: 92%

Genotype by Environment Interaction in Soybean and its Implications for Crop Improvement

Adediran

Ayo-Vaughan

Ariyo

et al. 2023

IJPSS

View full text Add to dashboard Cite

show abstract

“…High heritability was reported in sweet corn for the number of kernel rows and the ear length which makes selection more efficient (Hallauer et al, 2011;Jawad Asgh & Sadaqat Me, 1999;Ojo et al, 2020). Solomon et al (2012) found that the ear length and the ear diameter are significantly influenced by GCA.…”

Section: Effect On Ear Qualitymentioning

confidence: 99%

“…S2-selection shows as well decreasing yield even clearer than full-sib selection in our study.Results in the literature on heritabilities of yield traits and selection gain in sweet corn are contradictory: Grain yield in sweet corn showed low heritabilities in Asgh's study(Jawad Asgh & Sadaqat Me, 1999). But in contrast,Ojo et al (2020) found high heritabilities for grain yield for 106 full-sib families (h 2 = .88/.98. Other researchers found that yield was decreased by full-sib selection and by selfing, which is consistent with our study(Treenoo & Amnueysit, 2012).…”

mentioning

confidence: 94%

“…reported that the effect of selection can depend also on the performance level of the initial population. As our initial population was selected for several years by mass selection, the additive variance for traits with high heritability might have been exploited already well and further improvement would be only possible by selection under environments with greater diversity.4.2 | Effect on earliness of full-sib selectionMaize-flowering time is a highly heritable trait(Hemavathy, 2020;Ojo et al, 2020;Saboor Khan et al, 2018;G. Saleh et al, 1993; G. B. Saleh F I G U R E 2 2 The number of kernel rows in S2-selection before and after selection with colours and shading representing the four locations in the evaluation year.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Effect of full‐sib and S2‐selection on a sweet corn population (Zea mays convar. saccharata)

Aichholz,

Becker,

Horneburg

2024

Plant Breeding

View full text Add to dashboard Cite

Sweet corn breeding goals differ from grain or silage corn. Sweet corn goals focus on marketable yield including several quality traits. This study explores the effect of a single cycle of full‐sib selection and S2 selection on improving the marketable yield of an open‐pollinated sweet corn population. The selected populations were subsequently compared in four environments for several plant‐, yield‐ and quality traits relative to the original population. Analysis of variance was used to detect selection progress and indirect effects of selection. Full‐sib and S2‐selection decreased total yield. Marketable yield was decreased more by S2‐selection than by full‐sib selection. Flowering time was changed by full‐sib selection, but not by S2‐selection. Full‐sib selection improved ear quality by increasing ear length, the diameter of the ear and the number of kernel rows. S2‐selection showed no effect or a negative effect on ear quality. The application of a single cycle of selection using either method seemed inadequate for increasing marketable yield. More cycles might be necessary to make significant improvements.

show abstract

Genetic Variation for Yield and Yield Components in Sole Soybean and Soybean/Celosia Inter-Crop in Makurdi (Southern Guinea Savanna Ecology), Nigeria

Cited by 2 publications

References 0 publications

Genotype by Environment Interaction in Soybean and its Implications for Crop Improvement

Genotype by Environment Interaction in Soybean and its Implications for Crop Improvement

Effect of full‐sib and S2‐selection on a sweet corn population (Zea mays convar. saccharata)

Contact Info

Product

Resources

About