Stability analysis for various quantitative traits insoybean [Glycine max (L.) merrill]

The present investigation was carried out to study stability performance over twelve environments for yield and yield contributing characters in twenty two genetically diverse genotypes of soybean using a randomized complete block design. The partitioning of (environment + genotype x environment) mean squares showed that environments (linear) differed significantly and were quite diverse with regards to their effects on the performance of genotypes for yield and its components. Stable genotypes were identified for wider and specific environments with high per se performance (over general mean) for majority of yield component traits. The investigation revealed that the genotypes ABL 55, ABL 20, ABL 62 and ABL 45 were desirable and stable across the environments for different yield contributing traits. Other genotypes ABL 43 and ABL 17 were found to be suitable for favourable situations, while genotypes ABL19 were adapted to poor environments for yield and majority of yield contributing traits.

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Varietal Evaluation and Clustering of Early Maize Genotypes in Mid-Western Hilly Region of Nepal

Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca Agriculture ◽

10.15835/buasvmcn-agr:2020.0014 ◽

2020 ◽

Vol 77 (2) ◽

pp. 24

Author(s):

Bishnu Prasad KANDEL

Keyword(s):

Genetic Diversity ◽

Block Design ◽

Yield Component ◽

Research Station ◽

Maize Genotypes ◽

Hilly Region ◽

Randomized Complete Block Design ◽

Component Traits ◽

Yield Component Traits ◽

Selection Of

Eleven early maize (Zea mays) genotypes were evaluated for their yield and yield component traits at the research block of Regional Agriculture Research Station (RARS) Lumle, Kaski, Nepal during Kharif season of 2016. The experiment was laid out in randomized complete block design (RCBD) with three replications. Results showed that all the studied genotypes differed significantly for grain yield as well as other yield component traits except number of kernel per row. Out of tested genotypes COMPOZ-NIPB, EEYC1, POP-445/POP-446 were three top performer genotypes yielding 6.89, 5.38 and 5.19 t ha-1. Early mid Katamari, Rajahar local, Manakamana-5, EEYC1 were statistically at par with Arun-4(standard check) and will be needed further evaluation and improvement by a selection of desirable traits. Eleven genotypes occupied three different clusters and showed that early maize genotypes suggest considerable genetic diversity among themselves. Genotypes belong to cluster one having the highest yield potentials so need to be further evaluation in different location of mid hill and recommended best variety for that domain.

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Yield performance stability of adapted and improved cowpea in the Equatoria region of South Sudan

Legume Research - An International Journal ◽

10.18805/lr-463 ◽

2019 ◽

Author(s):

Tony Ngalamu ◽

Silvestro Meseka ◽

James Odra Galla ◽

Nixon James Tongun ◽

Newton W. Ochanda ◽

...

Keyword(s):

Block Design ◽

South Sudan ◽

Yield Stability ◽

Environment Interaction ◽

Analysis Method ◽

Genotype X Environment ◽

Production Constraints ◽

Stability Performance ◽

Randomized Complete Block Design ◽

Main Production

Cowpea is an important food crop with high nutritional and socio-economical values in South Sudan. However, the lack of improved varieties is one of the main production constraints. This study was undertaken to assess the yield stability performance of improved cowpea genotypes across six environments in South Sudan in 2014 and 2015. Nine genotypes were evaluated in a randomized complete block design with three replications. Genotype and genotype x environment biplot analysis method was used to determine yield stability. Highly significant (p less than 0.001) genotype x environment interaction effect was detected for seed yield. IT90K-277-2 had the highest while ACC004 had the lowest grain yield. Palotaka was as highly discriminating and repeatable environment compare to the other testing sites. IT07K-211-1-8 and Mading Bor II were the most responsive genotypes, while IT90K-277-2 was the most stable high yielding genotype across the test environments and can be grown by farmers across the region.

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Combining Ability Analysis of Yield Components in Cucumber

Journal of the American Society for Horticultural Science ◽

10.21273/jashs.127.6.931 ◽

2002 ◽

Vol 127 (6) ◽

pp. 931-937 ◽

Cited By ~ 7

Author(s):

Ana I. López-Sesé ◽

Jack Staub

Keyword(s):

Combining Ability ◽

Yield Components ◽

Block Design ◽

Yield Component ◽

Branch Number ◽

Fruit Number ◽

Horticultural Traits ◽

Combining Ability Analysis ◽

Component Traits ◽

Yield Component Traits

Three U.S.-adapted Cucumis sativus var. sativus L. lines and one C. sativus var. hardwickii (R.) Alef.-derived line were crossed in a half-diallel design to determine their combining ability for several yield-related traits (yield components). Six F1 progenies were evaluated in a randomized complete block design with eight replications in 1999 and 2000 for fruit number and length/diameter ratio (L:D), lateral branch number, number of female flowering nodes, and days to anthesis. Combining ability was significantly influenced (p < 0.05) by year for most of the horticultural traits examined. General combining ability (GCA) was significant for all traits in each year. Specific combining ability (SCA) was significant in magnitude and direction for only fruit number and days to anthesis. Data indicate that the C. sativus var. hardwickii-derived inbred line WI 5551 possessed SCA for yield component traits, and thus maybe useful for improving fruit yield in commercial cucumber.

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Quantitative trait loci identification for yield component traits in an Indonesian local rice variety, Untup Rajab

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/762/1/012011 ◽

2021 ◽

Vol 762 (1) ◽

pp. 012011

Author(s):

M Yunus ◽

D Satyawan ◽

A Dadang ◽

A Warsun

Keyword(s):

Quantitative Trait Loci ◽

Quantitative Trait ◽

Rice Variety ◽

Yield Component ◽

Trait Loci ◽

Component Traits ◽

Yield Component Traits

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Genotype X Environment Interaction of Food Barley

Ecoprint An International Journal of Ecology ◽

10.3126/eco.v21i0.11903 ◽

2015 ◽

Vol 21 ◽

pp. 41-48

Author(s):

Gebremedhin Welu

Keyword(s):

Grain Yield ◽

Block Design ◽

Genotype X Environment Interaction ◽

Environment Interaction ◽

Genotype X Environment ◽

Genotype Effect ◽

Environment Effects ◽

Randomized Complete Block Design ◽

Barley Genotypes

The objective of this experiment was to estimate the magnitude of genotype X environment interaction on grain yield and yield related traits. Twelve varieties of food barley were included in the study planted in randomized complete block design with three replications. The ANOVA of combined and individual location revealed significant differences among the food barley genotypes for grain yield and other traits. The results of ANOVA for grain yield showed highly significant (p≤0.01) differences among genotypes evaluated for grain yield at Maychew and significant (p≤0.05) differences in Korem, Alage and Mugulat. The ANOVA over locations showed a highly significant (p≤0.01) variation for the genotype effect, environment effects, genotype X environment interaction (GEI) effect and significant (p≤0.05) variation for GEI effect of yield and for most of the yield related traits of food barley genotypes. Haftysene, Yidogit, Estayish and Basso were the genotypes with relatively high mean grain yield across all locations and they are highly performing genotypes to the area. Among locations, the highest mean grain yield was recorded at Korem and it was a suited environment to all the genotypes whereas Mugulat is unfavoured one. ECOPRINT 21: 41-48, 2014DOI: http://dx.doi.org/10.3126/eco.v21i0.11903

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Evaluating Genotype × Environment Interactions of Yield Traits and Adaptability in Rice Cultivars Grown under Temperate, Subtropical and Tropical Environments

Agriculture ◽

10.3390/agriculture11060558 ◽

2021 ◽

Vol 11 (6) ◽

pp. 558

Author(s):

Xing Huang ◽

Su Jang ◽

Backki Kim ◽

Zhongze Piao ◽

Edilberto Redona ◽

...

Keyword(s):

Yield Component ◽

Yield Potential ◽

High Yield ◽

Environment Interaction ◽

Accurate Identification ◽

Rice Varieties ◽

Panicle Number ◽

Tropical Conditions ◽

Component Traits ◽

Yield Component Traits

Rice yield is a complex trait that is strongly affected by environment and genotype × environment interaction (GEI) effects. Consideration of GEI in diverse environments facilitates the accurate identification of optimal genotypes with high yield performance, which are adaptable to specific or diverse environments. In this study, multiple environment trials were conducted to evaluate grain yield (GY) and four yield-component traits: panicle length, panicle number, spikelet number per panicle, and thousand-grain weight. Eighty-nine rice varieties were cultivated in temperate, subtropical, and tropical regions for two years. The effects of both GEI (12.4–19.6%) and environment (23.6–69.6%) significantly contributed to the variation of all yield-component traits. In addition, 37.1% of GY variation was explained by GEI, indicating that GY performance was strongly affected by the different environmental conditions. GY performance and genotype stability were evaluated using simultaneous selection indexing, and 19 desirable genotypes were identified with high productivity and broad adaptability across temperate, subtropical, and tropical conditions. These optimal genotypes could be recommended for cultivation and as elite parents for rice breeding programs to improve yield potential and general adaptability to climates.

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Genetic imprints of domestication for disease resistance, oil quality, and yield component traits in groundnut (Arachis hypogaea L.)

Molecular Genetics and Genomics ◽

10.1007/s00438-018-1511-9 ◽

2018 ◽

Vol 294 (2) ◽

pp. 365-378 ◽

Cited By ~ 4

Author(s):

Pawan Khera ◽

Manish K. Pandey ◽

Nalini Mallikarjuna ◽

Manda Sriswathi ◽

Manish Roorkiwal ◽

...

Keyword(s):

Disease Resistance ◽

Arachis Hypogaea ◽

Oil Quality ◽

Yield Component ◽

Arachis Hypogaea L ◽

Component Traits ◽

Yield Component Traits

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Short communication: Heterosis and combining ability of Nepalese yellow maize (Zea mays L.)

Agronomy Journal of Nepal ◽

10.3126/ajn.v3i0.9020 ◽

2013 ◽

Vol 3 ◽

pp. 172-180 ◽

Cited By ~ 1

Author(s):

SR Gautam ◽

BR Ojha ◽

SK Ghimire ◽

DB Gurung

Keyword(s):

Grain Yield ◽

Combining Ability ◽

Quantitative Traits ◽

Short Communication ◽

Zea Mays L ◽

Block Design ◽

Winter Season ◽

Inbred Lines ◽

High Magnitude ◽

Randomized Complete Block Design

Nepalese yellow maize inbred lines were characterized for general combining ability (GCA) and specific combining ability (SCA) of their crosses and parents were identified having high combining ability for determining the heterotic effects on yield and other quantitative traits of hybrids. A line x tester mating design was used for making the crosses in the winter season of 2008 and the hybrids along with their parents and four checks were evaluated in Randomized Complete Block Design (RCBD) with three replications in the spring season of 2009 at the experimental farm of the National Maize Research Program, Chitwan. Significant variations were found among the treatments for grain yield and other traits which indicated presence of high magnitude of genetic variations among tested inbred lines. The cross between RML-32 and RML-17 produced the highest grain yield (15870 kg/ha) among the crosses. Hybrids such as RL-194 x RL-84 (10770 kg/ha), RML-21 x RML-17 (9270 kg/ha), RL-180 x RML-17 (9270 kg/ha) and L-1 x RL-84 (8785 kg/ha) were found superior grain yielder. Thirty-nine hybrids showed positive mid-parent heterosis for grain yield among 40 crosses. The highest positive mid-parent heterosis for grain yield was found 880% in cross between RML-32 and RML-17, followed by RL-98X RML-17 (507%), RL-103 x RML-17 (403%), PUTU-18 x RML- 17 (351%) and RL-180 x RL 84 (316%). Agronomy Journal of Nepal (Agron JN) Vol. 3. 2013, Page 172-180 DOI: http://dx.doi.org/10.3126/ajn.v3i0.9020

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COMPARISON OF YIELD AMONG DIFFERENT HIGH YIELDING VARIETIES OF WETLAND RICE

Agric ◽

10.24246/agric.2021.v33.i1.p57-66 ◽

2021 ◽

Vol 33 (1) ◽

pp. 57-66

Author(s):

Kiki Kusyaeri Hamdani ◽

Yati Haryati

Keyword(s):

Yield Components ◽

Block Design ◽

Yield Component ◽

Yield Potential ◽

Duncan Multiple Range Test ◽

Rice Varieties ◽

Randomized Complete Block Design ◽

High Yielding Varieties ◽

Range Test ◽

Better Than

New superior varieties (VUB) are a reliable technological innovation to increase rice productivity. This study aims to determine the yield potential of some lowland rice VUB. The assessment was carried out on land owned by a member of the Sumber Rejeki Farmer Group, Cintaratu Village, Lakbok District, Ciamis Regency at Dry Season II in June-September 2020. The study used a randomized complete block design (RCBD) with six varieties of treatment and was repeated ten times. The varieties tested were Inpari 32, Inpari 42, Padjadjaran, Cakrabuana, Inpari IR Nutrizinc, and Siliwangi varieties. The variables observed included the growth component, yield component, and yield component. Data were analyzed using the F test followedby the Duncan Multiple Range Test at the Q=5% level. In addition, a correlation test was conducted between the growth components, yield components, and yields. The results of the study indicated that the new superior rice varieties studied had different performance in growth, number of tillers, yield, and yield components. Inpari 42 variety produced the highest productivity, namely 6.88 ton ha-1 which was supported by the number of grains per panicle, percentage of filled grains per panicle, and percentage of empty grain per panicle which were better than other varieties. Plant height and number of grains per panicle were positively correlated with yield.

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