Selection for local adaptation in a plant breeding programme

Simmonds, N. W.

doi:10.1007/bf02190624

Cited by 180 publications

(106 citation statements)

References 17 publications

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“…Selection and improvement under optimal conditions may not be suitable for the target areas prone to abiotic constraints (Simmonds, 1991). Therefore, in order to achieve improved and stable yields in stress prone environments it is desirable to improve tolerance to major abiotic constraints prevalent in target environment.…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity in maize inbreds under excess soil moisture condition

Hoque

Akhter²,

Kadir³

et al. 2017

Bangladesh J. Agric. Res

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Genetic diversity study was done in 64 maize inbreds grown under excess soil moisture condition.The genotypes were grouped into eight clusters. It was observed that all intercluster distances were larger than all intracluster distances. Such results indicated that genotypes included within a cluster had less diversity among themselves but wider genetic diversity among the inbreds of different clusters. The highest inter cluster distance was observed between cluster IV & VII followed by IV & V , IV & VIII, II & VII and I & IV. The highest intra cluster distance was noticed in cluster V and the lowest was in cluster VII. The highest yield/plant, cob girth, number of rows/ear, number of grains/plant, SPAD value and number of nodes with brace roots were observed in cluster IV. The lowest mean value for yield/plant yield components and dwarf statured plant were observed in cluster VII. The plant height, ear height,days to 50% tasseling and silking, cob length, cob girth, 100 grain weight and SPAD value contributed considerably to total divergence. The genetically diverged genotypes in these distinct clusters could be used as parents in hybridization program for getting desirable hybrid(s).

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Section: Introductionmentioning

confidence: 99%

Genetic diversity in maize inbreds under excess soil moisture condition

Hoque

Akhter²,

Kadir³

et al. 2017

Bangladesh J. Agric. Res

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“…Type-3 stability depends on the measurements of unpredictable irregularities in the response to environment as provided by the deviation from regression (because the regression part is predictable (Eberhart and Russel, 1966)). Static (Type 1) stability may be more useful than dynamic in a wide range of situations, which characterise farming systems in developing countries (Simmonds, 1991).…”

Section: Introductionmentioning

confidence: 99%

Assessment of yield stability in sorghum

Adugna¹

2010

African Crop Science Journal

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Sorghum (Sorghum bicolor L. (Moench)) is the third major cereal crop in Ethiopia in terms of area and production next to tef (Eragrostis tef) and maize (Zea mays). It is the major crop in drought stressed lowland areas that cover 66% of the total arable land in the country. Yield stability is one of the setbacks facing plant breeders in developing widely adapted varieties with superior yield. The present study was carried out to investigate the effect of genotype by environment (GxE) on the yield stability of sorghum (Sorghum bicolor) using fifteen genotypes in eight environments (Locations x years combination). There were significant differences among the genotypes, the environments and GxE interactions. Thus, the three types of univariate stability models: Type-1 (CV i and S had strong rank correlation (r=0.97) but both had either very weak or no rank correlation with the rest of the parameters tested. The Sd 2 i had very weak negative correlation with the remaining parameters. Based on the three stability statistics, the different genotypes were classified as stable. To compliment and verify findings of this univariate approach, the GxE which uses a mulivariate approach was used. The multivariate approach (AMMI model) gives a broader inference. Based on the AMMI model, genotypes 2 and 5 were the most stable, although genotypes 1 and 3 had satisfactory levels of yield performance as well as stability. Therefore, these four genotypes with wider adaptation are recommended for sorghum growing dry lowlands of the country.Key Words: AMMI model, Ethiopia, GxE, hybrids, Sorghum bicolor RÉSUMÉLe Sorgho (Sorghum bicolor L. (Moench)) représente la 3 e principale céréale en Ethiopie, en termes de superficie de production, après le Tef (Eragrostis tef) et le maïs (Zea mays). Il est par ailleurs la culture majeure dans les zones de stress due à la sécheresse au sein des basses terres couvrant 66% de la superficie arable totale du pays. La stabilité du rendement constitue l'une des difficultés que rencontrent les agriculteurs dans le développement de variétés largement adaptées et présentant un rendement supérieur. La présente étude était menée dans le but d'établir par investigations l'effet du genotype et de l'environnement (GXE) sur la stabilité du rendement du sorgho (Sorghum bicolor) par l'utilisation de 15 génotypes au sein de huit environnements (sites x combinaisonannées). Il y avait des différences significatives parmi les génotypes, les environnements ainsi que les interactions GXE. Par conséquent, produisant les 3 types de modèles de stabilité à variable unique: Type -1 (CV i et S avait une corrélation négative très faible avec les autres paramètres restants. Se basant sur les 3 statistiques de stabilité; les différents génotypes étaient classifiés comme stables. En vue de pouvoir compléter et vérifier les résultants par cette approche à variable unique, le GXE qui utilise une approche à multi variants a été utilisé. Cette dernière approche (AMMI Model) donne une large ASFAW ADUGNA 84 déduction. Se basant...

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“…Plant Grond 2003, 20(1) adapted to moisture stressed environments. Breeding and selection under non-stressed conditions may not result in genotypes adapted to stressed environments in the target areas (Rosielle & Hamblin, 1981;Simmonds, 1991). Various trials have shown that moisture stress reduces grain size and seed number per ear, but this may to some degree be compensated by increased number of tillers (Wenzel, 1997;.…”

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confidence: 99%

Rainfall and the prediction of sorghum yield in South Africa

Wenzel¹

2003

South African Journal of Plant and Soil

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Selection for local adaptation in a plant breeding programme

Cited by 180 publications

References 17 publications

Genetic diversity in maize inbreds under excess soil moisture condition

Genetic diversity in maize inbreds under excess soil moisture condition

Assessment of yield stability in sorghum

Rainfall and the prediction of sorghum yield in South Africa

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