Author: M. S. KhumkarPublisher:
ISBN:
Category :
Languages : en
Pages : 108
Book Description
Genetic Diversity Studies for Some Physical and Yield and Its Component Traits in Bread Wheat (Triticum Aestivum L. Em. Thell) Under Late Sown Conditions
Author: M. S. KhumkarStudies on Methods of Creating Variability and Genetic Analysis of Yield and Its Component Traits in Bread Wheat (Triticum Aestivum L.em.Thell).
Author: Sada Ram VermaGenetic Variation for Protein Content and Its Association with Yield Related Traits in Recombinant Inbred Lines (Rils) Population of Bread Wheat (Triticum Aestivum L. Em. Thell) [With CD Copy]
![Genetic Variation for Protein Content and Its Association with Yield Related Traits in Recombinant Inbred Lines (Rils) Population of Bread Wheat (Triticum Aestivum L. Em. Thell) [With CD Copy] PDF](https://books.google.com/books/content/images/frontcover/Z831rQEACAAJ?fife=w80-h100)
Author: PinkiGenetic Diversity and Effects of Selective Intermating on Genetic Variability in Bread Wheat (Triticum Aestivum L. Em. Thell) [With CD Copy]
![Genetic Diversity and Effects of Selective Intermating on Genetic Variability in Bread Wheat (Triticum Aestivum L. Em. Thell) [With CD Copy] PDF](https://books.google.com/books/content/images/frontcover/DYFDuwEACAAJ?fife=w80-h100)
Author: PreetiInheritance of Important Traits in Bread Wheat Using Diallel Analysis
Author: Inam UllahPublisher: LAP Lambert Academic Publishing
ISBN: 9783843373302
Category :
Languages : en
Pages : 144
Book Description
Bread wheat (Triticum aestivum L. em. Thell) is one of the most important cereal grain crop of the world and is cultivated over a wide range of climatic conditions. For a successful breeding program the inheritance of yield related traits is a pre- requisite. This monograph communicates the inheritance pattern of yield and related traits in bread wheat (Triticum aestivum L.) using 8x8 diallel analyses. Graphical analysis revealed additive gene action for days to heading, days to maturity, plant height, grains per spike, 1000 grains weight and harvest index. While over dominance gene action for flag leaf area, tillers per plant, Spike length and yield per plant. The GCA mean squares were significant for all traits except tiller per plant and yield per plant and were greater than SCA mean squares indicating the preponderance of additive genetic effects. The parents Tkb, Tat, Sarc-3 and SQ- 92 were good general combiners. The parents Tkb , Tat , Sarc-3 and SQ-92 and the specific crosses that showed high mid parent and better parent heterosis are recommended for further use in wheat breeding programmes.
Genetic Diversity Analysis in Spring Wheat (Triticum Aestivum L.)
Author: Deepak K.R. BaranwalPublisher: LAP Lambert Academic Publishing
ISBN: 9783659430169
Category :
Languages : en
Pages : 92
Book Description
This is a reference book which describes importance, use and basic information relevant to Wheat and its improvement. In reference to genetic diversity analysis, data was collected for yield and its components and utilized for genetic evaluation of diverse wheat genotypes. The analysis revealed high significant genetic variation for most of the yield components. Recent research findings in wheat improvement aspects have been incorporated in the book. The present research would be fruitful during formulating breeding strategies for wheat improvement. Methodology, experimental findings and their relation with earlier researches has been elaborated in the book. Thousand grain weight, plot yield, grains per spike, tiller per meter and ear length are found key traits for genetic evaluation of wheat genotypes and should be utilized in wheat breeding programmes. Genetic diversity analysis using Cluster and principal component analysis has explored an opportunity to identify diversified genotypes for crop improvement.Present book is basically written for Plant Breeding Scholar and persons interested in Wheat research.
Stability Analysis of Grain Yield, Its Components and Quality Plarameters of Bread Wheat (Triticum Aestivum L.) Genotypes Under Rainfed and Late Sown Condition
Author: R. B. YadavGenetic Diversity and Heat Stress Tolerance Studies on Bread Wheat (Tritivum Aestivum L.em. Thell) [With CD Copy]
![Genetic Diversity and Heat Stress Tolerance Studies on Bread Wheat (Tritivum Aestivum L.em. Thell) [With CD Copy] PDF](https://books.google.com/books/content/images/frontcover/KWJazwEACAAJ?fife=w80-h100)
Author: Rutuparna PatiNature of Inheritance, Genotype-environment Interaction and Association of Selected Agronomic Characters in Crosses of Winter X Spring Wheats (Triticum Aestivum L. Em Thell)
Author: P. BrajcichPublisher:
ISBN:
Category : Wheat
Languages : en
Pages : 300
Book Description
This investigation was motivated by the apparent increase in genetic variability resulting from the systematic combining of gene pools represented by winter and spring types of wheats. It was the objective of this study to provide information regarding the nature of this genetic variability for nine agronomic characters in populations resulting from winter x spring crosses. Evaluations were made for: 1) the amount of total genetic variability; 2) the nature of the gene action making up this genetic variability using parent-progeny regression and combining ability analysis and 3) possible direct and indirect associations for traits which influence grain yield. Experimental populations which involved parents, Fl, F2 and backcross generations were grown at two locations where a spring and a winter environment could be utilized. At the winter site, the research was evaluated over a two year period. When the two experimental sites were compared, greater genetic diversity was observed at the spring site for maturity date, plant height, tillers per plant, kernel weight and grain yield. At the winter site, heading date, grain filling period, harvest index and kernels per spike were found to have more total genetic variation. From the expected mean square values, it would appear that the winter parents contributed more to the total genetic variation for most traits measured at both locations. A large genotype-location interaction was also noted suggesting that estimates of gene action and selection for adapted plant types can be done only at the specific winter or spring site. A large portion of the total genetic variation controlling the traits measured was due to additive gene action. However, at the winter site there was also a large influence of non-additive gene action associated with heading date, plant height, harvest index, tillers per plant, kernel weight, kernels per spike and grain yield. Of special interest was that at the winter site the most promising parental combinations could be predicted based on the general combining ability effects of the individual cultivars for each trait studied. Such data were not available for the spring site. Consistent and high correlations were observed between tillers per plant, kernels per spike and, to a lesser extent, kernel weight and grain yield at the winter location. Some negative associations were observed at the spring location between these traits and grain yield suggesting that yield component compensations were involved in the final expression of grain yield. The other characters measured did not reflect significant correlations with yield. When the correlation values were considered in terms of direct and indirect effects for specific traits, a large direct effect was noted for the three components and grain yield. The other traits exhibited small or no direct effects on grain yield but did have a slight influence on grain yield through tillers per plant, kernels per spike or kernel weight.
A Genetic Dissection of Drought and Heat Tolerance Related Traits in Bread Wheat (Triticum Aestivum L.)
Author: Dion BennettPublisher:
ISBN:
Category : Plants
Languages : en
Pages : 280
Book Description
This study was conducted with the aim of improving our understanding of the genetic basis of the superior grain yield of an elite bread wheat breeding line, RAC875, under drought and heat stressed Mediterranean-type climates in southern Australia. Here, these abiotic stresses present a significant barrier to production. Kukri is a locally adapted variety which achieves acceptable grain yield under more favourable conditions, but relatively low grain yields under severe stress. A cross between the two lines resulted in an F1 derived doubled haploid population consisting of 368 individuals. The population was initially used for the genetic dissection of time to ear emergence and flag leaf glaucousness, with the latter trait hypothesised to explain a significant proportion of RAC875's relative drought and heat tolerance. Whilst parents of the population achieved similar time to ear emergence, segregation for Ppd-B1 and Ppd-D1a created large variation for this trait within the population. Two novel minor loci were detected for time to ear emergence (Q.Eet.aww-1A and Q.Zad.aww-4A), in addition to another eight known, minor loci. Five novel loci were detected for flag leaf glaucousness (Q.W.aww-3A, Q.W.aww-3B, Q.W.aww-3D, Q.W.aww-4D and Q.W.aww-5B), with one in particular (Q.W.aww-3A) accounting for up to 52 percent of the genetic variance for this trait. Sixteen field experiments were sown across southern Australia between 2006 and 2010, where average site grain yields ranged from 314 to 5275 kg ha−1. Kernels per square metre was the trait most correlated with grain yield, while spikelet fertility, which had a significant positive correlation with grains per square metre in all experiments and the subsequently derived environment clusters, was also related to grain yield. Nine loci were detected for grain yield independent of time to ear emergence and plant height. Five of these loci co-located with loci for kernels per square metre and only one of these nine loci were associated with any of the loci for flag leaf glaucousness and this genetic effect was opposite (i.e. Kukri allele resulting in large glaucousness value and lower grain yield). The RAC875 allele at QTL on chromosomes 1B and 7A (Q.Yld.aww-1B and Q.Yld.aww-7A-2) was associated with greater grain yield, kernels per spikelet and kernels per square metre. These two loci were detected in environment clusters where heat stress was a differentiating factor and it was concluded that these may therefore be associated with heat stress tolerance. Another QTL of large effect was consistently detected on chromosome 6A (Q.Tkw.aww-6A), with the RAC875 allele positively affecting grain size, flag leaf width and stem water soluble carbohydrate content but resulting in lower kernels per spikelet and therefore kernels per square metre. Experiments were also sown to assess the performance of the population in north-west Mexico under well watered, high yield potential conditions, as well as drip irrigated drought treatment and late planted but well watered conditions to expose the experiments to heat stress. This resulted in three very distinctive treatments and subsequently detected different genetic regions controlling grain yield. Two distinct QTL were detected for grain yield and canopy temperature on chromosome 3B, under irrigated (Q.Yld.aww-3B-1) and irrigated, drought and heat stressed treatments (Q.Yld.aww-3B-2). The latter QTL accounted for up to 22 percent of the genetic variance for grain yield and 20 percent of the genetic variance for canopy temperature under the heat stress treatment. However, all three treatments failed to detect any major QTL of common effect to southern Australia. This study highlighted the complex genetic basis of grain yield and physical grain quality in drought and heat stressed conditions, as well as the importance of conducting QTL dissection in the target environment. However, key loci detected offer potential for marker development and deployment of marker assisted selection within wheat breeding programmes targeting southern Australia. In the longer term, this should help improve the rate of genetic gain for grain yield, increasing production by growers in the Mediterranean type climate of southern Australia.