Genotype X environment interaction of maize (Zea mays L.) across North Western Ethiopia

Anley, Workie; Zeleke, Habtamu; Dessalegn, Yigzaw

doi:10.5897/jpbcs2013.0406

Cited by 32 publications

(30 citation statements)

References 19 publications

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“…The genotypes Poshilo Makai-1 and Farmer's Variety were similar in their grain yield performance and they were suitable for Doti and Rampur where as SO3TLYQ-AB-01 and S99TLYQ-B were suitable for Surkhet environment (Figure 1). This finding was very similar to findings of Anley et al (2013).…”

Section: Resultssupporting

confidence: 81%

Genotype × environment interaction of quality protein maize grain yield in Nepal

Shrestha¹,

Kunwar²,

Upadhyaya³

et al. 2016

J. Maize Res. & Dev.

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In order to determine G × E interaction of quality protein maize grain yield, six maize genotypes were evaluated under different environments of three Terai (Chitwan, Surkhet and Doti) and four mid hill (Dhankuta, Lalitpur, Dolakha and Kaski) districts of Nepal during summer seasons of 2014 and 2015. The experiments were conducted using randomized complete block design along with three replications. The genotypes namely S99TLYQ-B, S99TLYQ-HG-AB and S03TLYQ-AB-01 were identified high yielding and better adapted genotypes for Terai environments with grain yield of 4199 kg ha -1 , 3715 kg ha -1 , and 3336 kg ha -1 respectively and S99TLYQ-B and S03TLYQ-AB-01 for mid hill environments with grain yield of 4547 kg ha -1 and 4365 kg ha -1 respectively. Therefore, these genotypes can be suggested for cultivation in their respective environments in the country.

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Section: Resultssupporting

confidence: 81%

Genotype × environment interaction of quality protein maize grain yield in Nepal

Shrestha¹,

Kunwar²,

Upadhyaya³

et al. 2016

J. Maize Res. & Dev.

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“…The significant variation for GEI effects for grain yield suggest that these CIMMYT lines and hybrids should be tested in contrasting environments in multi-locational trials to identify the most stable line regarding drought and low-N tolerance. This point is supported by Anley et al (2013) who coined that significant GEI interactions indicates inconsistency in genotypic performance across testing environments, and suggested that the genotypes have to be tested in several testing locations in order to select stable genotypes.…”

Section: Discussionmentioning

confidence: 69%

Combining Ability for Grain Yield Performance among CIMMYT Germplasm Adapted to the Mid-Altitude Conditions

Kamutando¹,

Magorokosho²,

Dari³

2018

JAS

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The International Centre for Maize and Wheat Improvement (CIMMYT) develops maize (Zea mays L.) inbred lines and hybrids yearly that have several breeding and commercial attributes. However, no genetic analysis has been done on the recently developed inbred lines for yield performance under drought and low-N stress. The objectives of this study were to identify lines with positive general combining ability (GCA) effects for grain yield under stress environments and to identify the best single-cross hybrids with the highest specific combining ability (SCA) effects. Analysis of variance combined across sites showed significant mean squares for genotypes, locations and genotype by environment interaction (GEI) for grain yield. GCA lines , SCA and components of interaction effects were significant across sites. Additive genetic variance was more important than dominance variance in determining yield performance across locations indicating that selection based on grain yield under drought and low-N stress can be effective. Average grain yield across the eight locations ranged from 1.61 t ha -1 to 10.63 t ha -1 while narrow sense heritability for grain yield was 52.6% across sites and was slightly lower under managed drought and low-N stress. The testers CL115807 and CL106622 showed positive and significant GCA effects for yield performance under drought and low-N stress respectively. The best tester across all sites was CL115793 and line CZL0713 had consistently positive GCA effects for grain yield across sites. CML536 × CL115802 and CML312 × CL106508 were the best single crosses under low nitrogen stress sites while hybrid CML312 × C323-45 showed the highest positive SCA effects across sites. In conclusion, our results show that CIMMYT has new lines that have desirable adaptive attributes when grown under drought and low nitrogen stress environments in the mid-altitude region; hence these can be adopted for hybrid, synthetic and OPV formation.

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“…Recommended plant population have been in the range of 4.4-5.3 plants/m 2 (Admassu et al, 2008;Anley et al, 2013;Baudron et al, 2014) since the 1980s regardless of genotype differences (old vs. recently released) and specific environmental effects. It may be possible to improve stover production per unit area from commercial maize hybrids through increasing plant density without reducing grain yield and stover quality, but this option has never been addressed in tropical environments.…”

Section: Crop Management Factors Affecting the Yield And Nutritive Vamentioning

confidence: 99%

Options for improving the yield and nutritive value of maize and grain legume residues for ruminants in East African farming systems

Dejene¹

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The role and importance of livestock in smallholder crop-livestock systems and the importance of crop residues (CR) as ruminant feedstuffs in such systems are well established. The effects of genotype (G), environment (E) and crop management (M) factors on yields of grain and CR and the nutritive value of the CR of maize (Zea mays) and common bean (Phaseolus vulgaris) were investigated in an East African context. Genotype effects were examined in early and medium maturing (EM and MM, respectively) maize hybrids and popular varieties of common bean. Environment was examined at three sites for maize in the 2013 and 2014 cropping seasons and at four sites for common bean in 2013. Management effects examined were plant density (D) (5 and 7 plants/m 2 ), height of cutting at harvest in maize, and harvest at early and final seed maturity in common bean. Quality attributes (nitrogen (N), neutral detergent fibre (NDF) and acid detergent fibre (ADF) contents and dry matter digestibility (DMD)) were analysed using near infrared spectroscopy (NIRS) and calibrations expanded and validated with reference samples of CR representing the experimental sample set.There was substantial variation (P<0.05 to P<0.0001) among maize genotypes in yields of grain and stover and quality of stover as a feedstuff. Dual purpose genotypes were identified but G x E interactions for some yield and quality attributes showed that the variation among genotypes can depend on environment. In general the higher D increased yields of grain by 9-15% and stover by 21-31%, but had only minor effects on stover quality attributes. Year (Y) x density (D), G x E and G x D interactions were observed for some of the yield and stover attributes.High cutting height of maize (two internodes below the lowest ear) allowed harvest of most of the stover (on average 63-72% in EM and MM genotypes, respectively) as feedstuff while leaving stubble in the field available for other uses. This is established practice by farmers in some regions. The amount and quality as a feedstuff of the upper and lower stover components varied (P<0.01) among genotypes. N and DMD were 0.05-0.09% and 1.7-3.6%, respectively higher (P<0.0001) in the upper fraction of the stover than in whole stover. Thus evaluation and estimation of the amount and quality of maize stover available as a feedstuff should consider harvest at high cutting height to increase quality. G x E interactions were observed in yield and in some stover attributes in the upper and lower fractions, but these were not consistent.ii Common bean varieties varied (P<0.05 to P<0.0001) in yields of seed and haulm and in the nutritive value of haulm fractions (leaf, stem and pod wall) when harvested at seed maturity. There was extensive leaf loss at seed maturity which decreased haulm quality.Seed and haulm yields were correlated (r=0.87). Seed yield was generally not related to haulm quality as N% or DMD%. The variation in yield and haulm feedstuff quality was also examined in common bean varieties harvested at early se...

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Genotype X environment interaction of maize (Zea mays L.) across North Western Ethiopia

Cited by 32 publications

References 19 publications

Genotype × environment interaction of quality protein maize grain yield in Nepal

Genotype × environment interaction of quality protein maize grain yield in Nepal

Combining Ability for Grain Yield Performance among CIMMYT Germplasm Adapted to the Mid-Altitude Conditions

Options for improving the yield and nutritive value of maize and grain legume residues for ruminants in East African farming systems

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