Selection indices for yield improvement in bread wheat under late sown condition

Raiyani, G. D.; Patel, K. B.; Javia, R. M.; Bhatiya, V. J.; Ramani, V. V.

doi:10.15740/has/ajbs/10.2/148-152

Cited by 3 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this context, the selection index consisting of grain yield per plant, the number of grains per main spike, grain weight per main spike and biological yield per plant (X 1 +X 2 +X 3 +X 4 ) could be advantageously exploited in the wheat breeding programs. High efficiency in a selection based on grain yield per plant, the number of grains per main spike, grain weight per main spike and biological yield per plant or in the combination of all these four characters has been reported by Raiyani et al, (2015). The present study revealed that the discriminant function method of making selections in plants appeared to be the most useful as compared to the straight selection for grain yield alone and hence, due weightage should be given to the important selection indices while making the selection for yield advancement in wheat.…”

Section: Selection Indices For Yieldmentioning

confidence: 99%

Selection indices for yield improvement in bread wheat (Triticum aestivum L.)

Reddy

Babariya²

2020

EJPB

View full text Add to dashboard Cite

The discriminant-function technique was used to construct selection indices in 48 genotypes of bread wheat (Triticum aestivum L.). Sixty-three selection indices involving grain yield per plant and its five components were constructed using the discriminant function technique. The efficiency of selection increased with the inclusion of more characters in the selection index. The index based on four characters viz., grain yield per plant, the number of grains per main spike, grain weight per main spike and biological yield per plant recorded the highest genetic gain and relative efficiency. The use of these indices is advocated for selecting high yielding genotypes of bread wheat.

show abstract

Section: Selection Indices For Yieldmentioning

confidence: 99%

Selection indices for yield improvement in bread wheat (Triticum aestivum L.)

Reddy

Babariya²

2020

EJPB

View full text Add to dashboard Cite

show abstract

“…Robinson et al (1951) provided methods for estimating genetic and phenotypic variances and covariance's required to establish selection indices. Numerous studies have been carried out by researchers in this field, dealing with the selection indices in wheat and some other self-fertilized crops, among them were, Wells and Kofoid (1986), Ahmad and Hamdo (2000), Al-Jubouri et al (2006), Taha (2007), Laghari et al (2010), Ahmed et al (2011), Dawod et al (2012), Raiyani et al (2015), Sahar et al (2016) and Ghaed-Rahimi et al (2017), whose results indicated that some election indices, consisting of several traits, outweighed the direct selection of the yield alone, some were characterized by a high relative efficiency and expected genetic improvement as a result of selection.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Relative Efficiency of Several Selection Indices for Prediction of Expected Genetic Advance in Bread Wheat Grain Yield (Triticum aestivum L)

Al-Najjar

Al-Zubaidy

2023

TJAS

View full text Add to dashboard Cite

This experiment was conducted with fifteen genotypes of bread wheat introduced from ICARDA and two local varieties (Sham6 and Abu-Graib3), using three rows spacing (15, 25 and 35 cm). All genotypes were grown in 7 December, 2017 at Field Crops farm (inside Mosul University) under rain fed conditions with complementary irrigation, using split plots in randomized complete block design with three replications, for evaluation through constructing several selection indices and calculation of the expected gains of grain yield. The analysis of variance results for studied traits (grain yield, plant height, number spikes, biological yield, number of grains per spike, 1000-grain weight and harvest index) showed that mean square of genotypes were highly significant for plant height, number of grains per spike and 1000 grain weight. The selection index constructed from number of grains per spike and harvest index had high increase in the efficiency as compared with direct selection for yield. This indicate of the importance of a selection index based on combination of characters. This index in the present study considered the superior due to its highest efficiency. Using this index for genotypes evaluation revealed that the higher mean of selection index was 109.961 for genotype REYNA-12 with significant difference over Abu-Graib3 and is not with others, followed in importance by Sham6, ATTILA-7, PASTOR-2/BOCRO-2 and HUBARA-5/3/SHA3/SERI//SHA4LLIRA. The local varieties of bread wheat included in this study, (Sham6 and Abu-Graib3) locates at the sequences 2 and 17 respectively.

show abstract

Identification of suitable trait index for selection of heat tolerant wheat (Triticum aestivum) genotypes

et al. 2020

View full text Add to dashboard Cite

Terminal heat stress is one of the major production constraints in wheat-producing areas of south-east Asia. The selection of genotypes based on grain yield per se is not effective under stress condition. In the present study 30 wheat (Triticum aestivum L.) genotypes were evaluated under normal and heat stress conditions during 2016-17 and 2017-18 to determine the suitable trait index for selection of genotypes under non-stress and heat stress environments and identification of heat tolerant genotypes. The observation was recorded for 13 morphological, biochemical and physiological traits. The index based on seven characters like grain yield, days to heading, biological yield, green fodder yield, dry matter content, catalase and peroxidase was most suitable with the genetic gain of 4856.09% and the genetic advancement of 33.09 in normal condition and the index based on five characters comprising days to heading, biological yield, number of tillers, catalase and peroxidase was most suitable with an expected genetic gain of 20101.32% and genetic advance of 35.09. The genotypes RAJ 3765, BRW 3794, HD 2643, SW 129, DBW 14, SW 160, BRW 3759, BRW 3762 and BRW 3800 were identified as moderately tolerant considering selection index score and heat susceptibility index. These genotypes may be promoted for cultivation under late sown conditions and used as parents for the development of genotypes tolerant to terminal heat stress.

show abstract

Selection indices for yield improvement in bread wheat under late sown condition

Cited by 3 publications

References 7 publications

Selection indices for yield improvement in bread wheat (Triticum aestivum L.)

Selection indices for yield improvement in bread wheat (Triticum aestivum L.)

Evaluation of Relative Efficiency of Several Selection Indices for Prediction of Expected Genetic Advance in Bread Wheat Grain Yield (Triticum aestivum L)

Identification of suitable trait index for selection of heat tolerant wheat (Triticum aestivum) genotypes

Contact Info

Product

Resources

About