By Jichun Tian, Jiansheng Chen, Guangfeng Chen, Peng Wu, Han Zhang, Yong Zhao
While targeting numerous interactions among trait genes/QTL and dynamic expressions of conditional QTL genes, this booklet additionally discusses points of molecular marker-assisted breeding, and functions of molecular markers linked to yield, caliber, body structure and sickness resistance in wheat. It covers QTL stories in wheat breeding and offers the to be had details on wheat MAS breeding. This quantity presents a wealth of novel info, quite a lot of purposes and deep insights into crop genetics and molecular breeding, that is helpful not just for plant breeders but additionally for educational schools, senior researchers and complicated graduate scholars who're inquisitive about plant breeding and genetics. Dr. Jichun Tian is a professor on the division of Agronomy, Shandong Agricultural collage, Tai’an, China.
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Additional resources for Genetic Analyses of Wheat and Molecular Marker-Assisted Breeding, Volume 2: Conditional QTL Analysis and MAS
References Atchley WR, Zhu J. Developmental quantitative genetics, conditional epigenetic variability and growth in mice. Genetics. 1997;147:765–76. Bradshaw HD, Settler RF. Molecular genetics of growth, development in populous: IV. Mapping QTLs with large effects on growth form and phenology traits in a forest tree. Genetics. 1995;139:963–73. Cui F, Ding AM, Li J, et al. QTL detection of seven spike-related traits and their genetic correlations in wheat using two related RIL populations. Euphytica.
2006) and Zhu et al. (2011) studied the dynamic conditional QTL mappings of soybean plant height using a RIL population and that of wheat grain protein accumulation, respectively. They concluded that different QTL for shoot development (Sun et al. 2006) and for protein accumulation (Zhu et al. 2011) were expressed during various developmental stages. In fact, when one conducts dynamic conditional QTL study, he/she also studies the unconditional QTL (terminal stage) mapping (at each t time) simultaneously, especially at a given time (t − 1).
2015) studied the conditional QTL for total wheat seed starch content and its related components. These studies strongly suggest that conditional QTL analysis can help us better understand the genetic interrelationships between closely related yet in dependent traits; elucidate the genetic basis of their positive or negative relationships at single QTL level; identify more QTL that are undetectable in unconditional analysis, especially those QTL that enhance genetic effects on some traits without reducing the genetic effect of the other important QTL.