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020			_a978-981-16-4448-1
020			_a978-981-16-4449-8 (Online)
022			_2https://doi.org/10.1007/978-981-16-4449-8_9
040			_aMX-TxCIM
041			_aeng
100	1		_aHarikrishna _928845
245	1	0	_aChapter 9. Breaking the Yield Barriers to Enhance Genetic Gains in Wheat
260			_bSpringer Singapore, _c2022. _aSingapore :
300			_a48 pages
520			_aWheat is one of the most grown and consumed cereals providing stable energy source to people worldwide. Increase in population and decrease in arable land laid responsibility on the breeder’s shoulder to enhance productivity. In this chapter, we are giving a comprehensive view to enhance the genetic gain by breaking the yield barriers through possible methodologies. To enhance genetic gain, precise phenotyping of population with sufficient genetic diversity with genotypic data using markers is crucial to get a real genetic effect by minimizing the environmental bias. Even though other marker systems are in use, evolution of next-generation sequencing technology gave high-density markers like SNP which can be used in modern marker-based breeding programs. Mapping of QTLs related to higher yield and biotic and abiotic stress tolerance and utilizing them in breeding will certainly help minimize the loss of yield due to stress condition. Marker-assisted breeding like MAS, MABB and MARS can be used to transfer and enhance the frequency of the use of full allele in the population precisely. Time consumption in the mapping can be avoided using a direct marker effect in GEBV-based selection using genomic selection technique, and alteration in the allele combination and complex linkage can be overcome using genome editing. Speed breeding is one of the interesting methods which allows multiple generation per year leading to decreased time period in advancement of breeding material. With all these methods’ successful examples, a scope of hybrid wheat is also described in this chapter.
546			_aText in English
650		0	_aGenetic gain _92091 _2AGROVOC
650		7	_aBreeding _91029 _2AGROVOC
650		7	_aPhenotypes _93634 _2AGROVOC
650		7	_aQuantitative Trait Loci _91853 _2AGROVOC
650		7	_aWheat _91310 _2AGROVOC
650		7	_aYields _91313 _2AGROVOC
700	1		_928846 _aShashikumara, P.
700	1		_928847 _aGajghate, R.
700	1		_928848 _aDevate, N.B.
700	1		_928849 _aShiv, A.
700	7		_92851 _aBrijesh Kumar
700	1		_928850 _aSunilkumar, V. P.
700	1		_917206 _aRathan, N.D.
700	1		_aMottaleb, K.A. _gFormerly Socioeconomics Program _gFormerly Sustainable Agrifood Systems _8I1706152 _9810
700	1		_9920 _aSukumaran, S. _8INT3330 _gFormerly Global Wheat Program
700	1		_925015 _aJain, N.
700	1		_925016 _aSingh, P.K.
700	1		_918282 _aSingh, G.P.
773			_dSingapore : Springer Singapore, 2022. _gp. 179-226 _tNew Horizons in Wheat and Barley Research _w65615 _z978-981-16-4448-1
942			_cBP _n0 _2ddc
999			_c65621 _d65613