Genetic Gains in Grain Yield and Physiological Traits of Winter Wheat in Shandong Province, China, from 1969 to 2006

Xiao, Yonggui; Qian, Zhao-Guo; Wu, Ke; Liu, J. J.; Xia, X. C.; Ji, Wanquan; He, Zhonghu

doi:10.2135/cropsci2011.05.0246

Cited by 139 publications

(173 citation statements)

References 41 publications

Supporting

Mentioning

131

Contrasting

Unclassified

Order By: Relevance

“…Our results under conventional tillage ( Fig. 1(C)) are coincident with those of other authors (Green et al 2012;Lopes et al 2012;Matus et al 2012;Xiao et al 2012;Sanchez-García et al 2013), where a significant genetic progress was achieved during the…”

supporting

confidence: 92%

“…A general tendency of reduction in the wheat plant height was found by several authors as a result of breeding programs (Zhou et al 2007;Xiao et al 2012). However, an increased partitioning through additional reduction in plant height is not likely, as comparative studies indicate that optimal plant heights have already been achieved (Mustaoea and Saulescu 2011;Zheng et al 2011;Lopes et al 2012).…”

Section: Cereal Research Communications 42 2014mentioning

confidence: 86%

“…In other words, the variation in harvest index was strongly associated with the recurrent selection cycles attained. Retrospective studies associate increases in yield with null (Acreche et al 2008) or significant increases (Rodrigues et al 2007;Reynolds et al 2009;Xiao et al 2012) in total biomass production. Our results did not show a significant trend in biomass production as dependent on the number of recurrent selection cycles (Fig.…”

Section: Cereal Research Communications 42 2014mentioning

confidence: 99%

See 2 more Smart Citations

Genotype × tillage interaction in a recurrent selection program in wheat

Maich¹,

Rienzo²

2014

Cereal Research Communications

View full text Add to dashboard Cite

The objective of this study was to test if the response to 10 cycles of a recurrent selection program conducted under conventional tillage and rain fed conditions was the same when contrasted, for several traits, under conventional and non-tillage practices. During two season (2011 and 2012) the 44 S-derived families (four/C 0 to C 10 populations) were evaluated under conventional and non-tillage systems in two fields next to each other. Days to anthesis, plant height, grain, and biomass yield and 1000-grain weight were determined. The grain number per m 2 and harvest index was also estimated. From a random sample of 10 tillers the spikelet per spike and grains per spike were measured. For each trait, a linear mixed model (regression) was fitted to the experimental data. The slopes, under conventional tillage, were significant greater than zero for grain yield, harvest index, seeds per square meter, spikelet per spike and seeds per spike. Under non-tillage the list of traits showing slopes significantly greater than zero was shorter. For most traits there was a significant difference in the intercept terms between conventional tillage and non-tillage, which is interpreted as the tillage-practice effect. The concurrent evaluation in conventional and non-tillage soil managements of ten cycles of a recurrent selection program performed under conventional tillage confirmed the occurrence of a significant genetic progress only under conventional tillage.

show abstract

supporting

confidence: 92%

Section: Cereal Research Communications 42 2014mentioning

confidence: 86%

Section: Cereal Research Communications 42 2014mentioning

confidence: 99%

See 1 more Smart Citation

Genotype × tillage interaction in a recurrent selection program in wheat

Maich¹,

Rienzo²

2014

Cereal Research Communications

View full text Add to dashboard Cite

show abstract

“…Broad genotypic variations were found among the tested wheat genotypes for the grain yield, CTD (Balota et al, 2008;Li et al, 2012), LSR Lopes and Reynolds, 2012), SPAD (Lopes and Reynolds, 2012;Xiao et al, 2012), Fm and Fv (Araus et al, 1998;, Fv/Fm (Sayar et al, 2008;Kumar et al, 2012), and leaf and grain ash content (Merah et al, 2001;Zhu et al, 2009) in both experiments, as has been reported by other authors. Grain yield is very sensitive to drought stress and it remarkably decreased under the late drought conditions.…”

Section: Genotypic Variations In the Physiological Traits And Their Rsupporting

confidence: 84%

Physiological characterization of Turkish bread wheat genotypes for resistance to late drought stress

Öztürk¹,

Aydın²

2017

Turk J Agric For

View full text Add to dashboard Cite

A number of physiological traits have been proposed as selection criteria for late drought resistance and grain yield improvement in wheat. To characterize them in terms of late drought resistance, 64 bread wheat genotypes were evaluated for canopy temperature difference (CTD), leaf senescence rate (LSR), SPAD chlorophyll value, initial fluorescence (Fo), maximum fluorescence (Fm), variable fluorescence (Fv), maximum quantum efficiency of PSII (Fv/Fm), leaf ash content, and grain ash content in two field experiments conducted in irrigated and late drought conditions during the 2011-12 and 2012-13 seasons in Erzurum, Turkey. The experiments were conducted in an 8 × 8 lattice design with two replicates. Significant variation was observed among the genotypes for all the traits. Late drought decreased the grain yield, CTD, SPAD, Fm, Fv, Fv/Fm, and leaf ash content but increased LSR and grain ash content. The drought sensitivity of the genotypes was determined by a ranking method based on 25 traits measured in the late drought conditions. According to the rank-sum (RS) values of the genotypes, four genotypes were defined as resistant, 15 genotypes as medium resistant, 34 genotypes as medium sensitive, and 11 genotypes as sensitive. Resistant genotypes Müfitbey and Dağdaş 94 produced the highest grain yields in late drought conditions and appeared to be promising parents for the breeding of resistant cultivars. RS was negatively correlated with CTD, SPAD, Fm, Fv, and Fv/Fm, while it was positively correlated with LSR. For screening late droughtresistant genotypes, 15 days post anthesis (15DPA) is the optimum time for Fv, CTD, and SPAD measurements. The stepwise multiple linear regression analysis indicated that the Fv 15DPA , Fv 25DPA , CTD 15DPA , and SPAD 15DPA could explain 75.2% of the total variation in RS. Therefore, the Fv 15DPA , Fv 25DPA , CTD 15DPA , and SPAD 15DPA traits can be used as selection criteria as a combination for the classifying of wheat genotypes in terms of late drought resistance.

show abstract

“…In wheat (Triticum aestivum L.), chlorophyll content is positively correlated with photosynthetic rate (Evans, 1983). Leaf chlorophyll (measured by extraction and quantification of pigment content or with optical chlorophyll meters) is increasingly emphasized as an indicator for photosynthetic capacity and its stability during senescence (the 'stay green' phenotype) under both stress and non-stress conditions, and therefore for yield in wheat (Reynolds et al, 1994;Araus et al, 2008;Parry et al, 2011;Xiao et al, 2012).…”

Section: Introductionmentioning

confidence: 99%