Progression in yield and value addition of Indian bread wheat-An analysis

Mohan, Devinder; Tiwari, Vinod; Gupta, Raj Kumar

doi:10.5958/0975-6906.2017.00003.7

Cited by 12 publications

(10 citation statements)

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“…BLUP analyses of wheat trials showed continuous increase in the grain yield of the genotypes developed by Indian coordinated W heat Program. This finding also corroborates with studies on coordinated wheat production estimated by BLUE approach (Mohan et al 2017). More over in present study FA structure of the variance-covariance matrix of GxE was considered to estimate the BLUP of wheat yield.…”

Section: Resultssupporting

confidence: 92%

BLUP’s to Quantify Yield Gain under Wheat Coordinated System for Northern Hills Zone by Factor Analytic Approach

Verma

Chatrath

Singh

2019

IJARe

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Trend in linear manner has been observed for wheat production under irrigated timely and late sown along with rainfed timely sown trials of Northern Hills Zone of country. Production elevated to the level of 53, 30 and 36q/ha for irrigated timely, late sown and rainfed timely sown trials. By the end of considered period 0.81, 0.61 and 2.06 quintal per hectare could be added in subsequent trials. Low values of R2 for irrigated timely and late sown trials suggested marginal increase in linear fashion in production values. More over consistent improvement observed in rainfed timely sown trials as justified by highly significant value of R2.

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Section: Resultssupporting

confidence: 92%

BLUP’s to Quantify Yield Gain under Wheat Coordinated System for Northern Hills Zone by Factor Analytic Approach

Verma

Chatrath

Singh

2019

IJARe

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“…These two recurrent parents are popular varieties of peninsular zone and the progenies in these backgrounds were evaluated at Pune location (located in the peninsular zone). It is well known that the GPC is higher in varieties grown in the peninsular zone and also that the high GPC was associated with higher 1000-grain weight (Mohan et al 2017). This is contrary to the reported negative relationship between 1000-grain weight and GPC in most Indian wheat material (Nagarajan et al 2007).…”

Section: Grain Protein Content (Gpc) and Grain Yieldmentioning

confidence: 69%

“…This is contrary to the reported negative relationship between 1000-grain weight and GPC in most Indian wheat material (Nagarajan et al 2007). Therefore, it appears that the negative relationship has been broken in the varieties grown in the peninsular zone (Mohan et al 2017). Despite a general negative correlation between GPC and grain yield (O'Brien and Panozzo 1988; Simmonds 1995; Brevis and Dubcovsky 2010) and reported negative effect of Gpc-B1 gene on grain yield (Tabbita et al 2017), several progenies during the present study had improved GPC with no yield penalty (Table 2, Table S9).…”

Section: Grain Protein Content (Gpc) and Grain Yieldmentioning

confidence: 99%

Pyramiding of Genes for Grain Protein Content, Grain Quality and Rust Resistance in Eleven Indian Bread Wheat Cultivars: A Multi-Institutional Effort

Gupta

Balyan

Chhuneja

et al. 2021

Preprint

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Improvement of grain protein content (GPC), loaf volume and resistance to rusts was achieved in 11 Indian wheat cultivars that are widely grown in four different agro-climatic zones of India. This involved use of marker-assisted backcrossing (MABC) for introgression and pyramiding of the following genes: (i) the high GPC gene Gpc-B1; (ii) HMW glutenin subunits 5 + 10 at Glu-D1 loci, and (iii) rust resistance genes, Yr36, Yr15, Lr24 and Sr24. GPC was improved by 0.8–3.3%, although high GPC was generally associated with yield penalty. Further selection among high GPC lines, allowed development of progenies with higher GPC associated with improvement in 1000-grain weight and grain yield in the following four cultivars: NI5439, UP2338, UP2382 and HUW468. The high GPC progenies (derived from NI5439) were also improved for grain quality using HMW glutenin subunits 5 + 10 at Glu-D1 loci. Similarly, progenies combining high GPC and rust resistance were developed in the backgrounds of following five cultivars: Lok1, HD2967, PBW550, PBW621 and DBW1. The improved pre-bred lines developed during the present study should prove useful for development of cultivars with improved nutritional quality associated with rust resistance in future wheat breeding programmes.

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“…It was quite obvious and this well-established fact was again confirmed when the adverse relationship of this product was observed between bread (r: -0.40 ** ) and chapati (r: -0.55 ** ) in this bunch of high-yield genotypes. In Indian wheat, value addition property of late-sown wheat is rated better than the timely-sown (Mohan et al,, 2011, 2017) and this technique also supported this trend. All these observations underline that this technique holds true and is quite sound in judging overall the quality of wheat.…”

Section: Discussionmentioning

confidence: 81%

“…Demarcation to verify quality enriched sites also becomes very difficult when the number of variables is high. This multivariate approach was applied to resolve such problems in NWPZ which is not only the most productive wheat land of the country but both production conditions are relevant due to rice-wheat cropping system (Mohan et al,, 2017). Therefore, it is imperative to decide locations and the appropriate production condition to raise good quality wheat in this high-yield territory.…”

Section: Resultsmentioning

confidence: 99%

An innovative approach for determining composite wheat quality index to identify quality enriched genotypes - insights and implications

Mohan

Sendhil

Gupta

et al. 2021

Preprint

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Ranking test entries or test sites on a quality basis is very difficult in wheat as value addition is perceived by several grain properties and end-products. Here, a novel approach has been developed and tested by deriving wheat quality index based on principal component analysis of 13 physico-chemical grain parameters and 3 end products of 45 wheat varieties. Depending upon the observed index range (0.15 to 0.71), the cultivars were assorted into 3 distinct classes i.e. elite, moderate and poor. The top group ascertained high quality standards of grain suited for bread and chapati whereas bottom group assured better cookies quality. This technique was also tested to differentiate quality enriched test sites within a zone or demarcate the most suited production environments to harness good quality wheat. The index will have an implication on farmers (premium price for varietal segregation), industry (product specific quality cultivars), and consumers (superior quality products).

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Progression in yield and value addition of Indian bread wheat-An analysis

Cited by 12 publications

References 0 publications

BLUP’s to Quantify Yield Gain under Wheat Coordinated System for Northern Hills Zone by Factor Analytic Approach

BLUP’s to Quantify Yield Gain under Wheat Coordinated System for Northern Hills Zone by Factor Analytic Approach

Pyramiding of Genes for Grain Protein Content, Grain Quality and Rust Resistance in Eleven Indian Bread Wheat Cultivars: A Multi-Institutional Effort

An innovative approach for determining composite wheat quality index to identify quality enriched genotypes - insights and implications

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