Genetic Analysis of Agronomic and Quality Characters of Bread Wheat Grown Under Saline and Nonsaline Irrigation

Genetic Analysis of Agronomic and Quality Characters of Bread Wheat Grown Under Saline and Nonsaline Irrigation PDF Author: Walter McLean Kelman
Publisher:
ISBN:
Category :
Languages : en
Pages : 294

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Genetic Analysis of Agronomic and Quality Characters of Bread Wheat Grown Under Saline and Nonsaline Irrigation

Genetic Analysis of Agronomic and Quality Characters of Bread Wheat Grown Under Saline and Nonsaline Irrigation PDF Author: Walter McLean Kelman
Publisher:
ISBN:
Category :
Languages : en
Pages : 294

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Productivity and Ionic Relations of Wheat Under Salt Stress as Affected by Individual Chromosomes of Salt-tolerant Lophopyrum Elongatum

Productivity and Ionic Relations of Wheat Under Salt Stress as Affected by Individual Chromosomes of Salt-tolerant Lophopyrum Elongatum PDF Author: Joseph Anthony Omielan
Publisher:
ISBN:
Category :
Languages : en
Pages : 192

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Technical Progress Report

Technical Progress Report PDF Author: University of California (System). Salinity/Drainage Research Program
Publisher:
ISBN:
Category : Drainage
Languages : en
Pages : 616

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Genetic Analysis of Kernel Traits in Bread Wheat (T. Aestivum)

Genetic Analysis of Kernel Traits in Bread Wheat (T. Aestivum) PDF Author: Mala Kumari
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659814259
Category :
Languages : en
Pages : 184

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Book Description
Bread wheat (Triticum aestivum L.) is one of the most important food crops, feeding about 40 % of the world's population. Genetic improvement in wheat focus on three main areas: enhancing yield, overcoming biotic and abiotic stress and improvement end use quality. Grain size is an important physical indicator of seed quality that affects vegetative growth and is frequently related to yield, market grade factors and harvest efficiency. The grain length, width, and area were associated with a 40% variation in the milling quality of Australian winter wheat cultivars. Grain color is also one of important traits affecting flour yield and quality in wheat. For effective improvement of quality and yield of wheat, a plant breeder must have knowledge of inheritance of quality and agronomic traits.

Genetic Analysis of Some Agronomic and Quality Characters in Wheat (Triticum Aestivum L.).

Genetic Analysis of Some Agronomic and Quality Characters in Wheat (Triticum Aestivum L.). PDF Author: Sethi G S.
Publisher:
ISBN:
Category :
Languages : en
Pages : 97

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Genetic Analyses of Wheat and Molecular Marker-Assisted Breeding, Volume 1

Genetic Analyses of Wheat and Molecular Marker-Assisted Breeding, Volume 1 PDF Author: Jichun Tian
Publisher: Springer
ISBN: 9401773904
Category : Technology & Engineering
Languages : en
Pages : 550

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Book Description
The book mainly describes the QTL mappings and efficacy analyses that are associated with wheat productivity, quality, physiology and various stress resistances and provides summaries of results from studies conducted both at home and abroad. It presents comparable data and analyses, helping readers to arrive at a more comprehensive understanding of the latest development in this field. The book provides a wealth of novel information, broad range of applications and in-depth findings on crop genetics and molecular breeding, making it valuable not only for plant breeders but also for academic faculties, senior researchers and advanced graduate students who are involved in plant breeding and genetics. Dr. Jichun Tian is a professor at the Department of Agronomy, Shandong Agricultural University, Tai’an, China.

Guide to Bread Wheat Breeding at CIMMYT

Guide to Bread Wheat Breeding at CIMMYT PDF Author: Maarten van Ginkel
Publisher: CIMMYT
ISBN: 9706480021
Category :
Languages : en
Pages : 59

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Physiological, Molecular, and Genetic Perspectives of Wheat Improvement

Physiological, Molecular, and Genetic Perspectives of Wheat Improvement PDF Author: Shabir H Wani
Publisher: Springer Nature
ISBN: 3030595773
Category : Technology & Engineering
Languages : en
Pages : 296

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Book Description
World population is growing at an alarming rate and may exceed 9.7 billion by 2050, whereas agricultural productivity has been negatively affected due to yield limiting factors such as biotic and abiotic stresses as a result of global climate change. Wheat is a staple crop for ~20% of the world population and its yield needs be augmented correspondingly in order to satisfy the demands of our increasing world population. “Green revolution”, the introduction of semi-dwarf, high yielding wheat varieties along with improved agronomic management practices, gave rise to a substantial increase in wheat production and self-sufficiency in developing countries that include Mexico, India and other south Asian countries. Since the late 1980’s, however, wheat yield is at a standoff with little fluctuation. The current trend is thus insufficient to meet the demands of an increasing world population. Therefore, while conventional breeding has had a great impact on wheat yield, with climate change becoming a reality, newer molecular breeding and management tools are needed to meet the goal of improving wheat yield for the future. With the advance in our understanding of the wheat genome and more importantly, the role of environmental interactions on productivity, the idea of genomic selection has been proposed to select for multi-genic quantitative traits early in the breeding cycle. Accordingly genomic selection may remodel wheat breeding with gain that is predicted to be 3 to 5 times that of crossbreeding. Phenomics (high-throughput phenotyping) is another fairly recent advancement using contemporary sensors for wheat germplasm screening and as a selection tool. Lastly, CRISPR/Cas9 ribonucleoprotein mediated genome editing technology has been successfully utilized for efficient and specific genome editing of hexaploid bread wheat. In summary, there has been exciting progresses in the development of non-GM wheat plants resistant to biotic and abiotic stress and/or wheat with improved nutritional quality. We believe it is important to highlight these novel research accomplishments for a broader audience, with the hope that our readers will ultimately adopt these powerful technologies for crops improvement in order to meet the demands of an expanding world population.

Dissertation Abstracts International

Dissertation Abstracts International PDF Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 732

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Genetic Analysis of Bread Making Quality Stability in Wheat Using a Halberd X Len Recombinant Inbred Line Population

Genetic Analysis of Bread Making Quality Stability in Wheat Using a Halberd X Len Recombinant Inbred Line Population PDF Author: Ashima Poudel
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Wheat grain quality has a complex genetic architecture heavily influenced by the growing environment. Consistency in wheat quality not only affects the efficiency of milling and baking but also the quality of end-use products. The objectives of this study were to 1) analyze the different wheat quality parameters in Recombinant Inbred Lines (RILs) grown under different environments, and 2) to identify Quantitative Trait Loci (QTLs) associated with quality stability in RILs grown under different environments. A set of 180 RILs derived from two spring wheat lines "Halberd" and "Len" were grown at Uvalde and College Station TX, in the 2009/2010 growing season and at Chillicothe and College Station TX, in 2010/2011 growing seasons. The experiment was laid out in Randomized Complete Block Design (RCBD) with four replications within each location. Each line was tested for multiple quality traits that included grain hardness, protein content, dough mixing properties and bread baking quality using Single Kernel Characterization System (SKCS), Near-Infrared Reflectance Spectrometry (NIRS) analysis, mixograph and the Sodium Dodecyl Sulfate Sedimentation (SDSS) test. Genetic linkage map construction was carried out with 116 single nucleotide polymorphism (SNP) markers in the RILs. Then composite interval mapping was carried out to identify QTLs associated with quality traits. The SDSS column height was positively correlated across four environments. Similarly, it was found to have significant positive correlation with mixing tolerance and peak time within and also across locations. However, the SDSS was negatively correlated with the hardness index. The protein percent was not significant with any of the quality traits within and across environments. We were able to detect many QTLs for different quality traits but most of them were site specific. Only a few QTLs were consistent across environments. Most of the QTLs for quality traits i.e., SDSS, peak time, mixing tolerance and hardness index were identified on chromosome 1B. We were able to detect overlapped QTLs for SDSS column height and mixing tolerance on chromosome 1B. Furthermore, overlapping QTLs for mixing tolerance and peak time were detected on an unknown chromosome. We also detected overlapping QTLs for hardness index on chromosome 1B. We identified one stable QTL for SDSS column height on chromosome 4B. This QTL was detected based on the coefficient of variation (CV) for SDSS in four different environments.