References
- D'Mello JPF. 2003. Amino acids as multifunctional molecules. In: D'Mello JPF, ed. Amino Acids in Animal Nutrition, 2nd edn. CABI Publishing, Cambridge, MA. pp 1-14
- Duan M, Sun SSM. 2005. Profiling the expression of genes controlling rice grain quality. Plant Mol. Biol. 59:165-178 https://doi.org/10.1007/s11103-004-7507-3
- Fan J, Oliphant A, Shen R, Kermani B, Garcia F, Gunderson K, Hansen M, Steemers F, Butler SL, Deloukas P, Galver L, Hunt S, McBride C, Bibikova M, Rubano T, Chen J, Wickham E, Doucet D, Chang W, Campbell D, Zhang B, Kruglyak S, Bentley D, Haas J, Rigault P, Zhou L, Stuelpnagel J, Chee MS. 2003. Highly parallel SNP genotyping. Cold Spring Harb. Symp. Quant. Biol. 68:69-78
- Henderson JW, Ricker RD, Bidlingmeyer BA, Woodward C. 2000. Rapid, accurate, sensitive and reproducible HPLC analysis of amino acids. Agilent Technol. Tech. Note 2000 1100:1-10
- Jiang W, Lee J, Jin YM, Qiao Y, Piao R, Jang SM, Woo MO, Kwon SW, Liu X, Pan HY, Du X, Koh HJ. 2011. Identification of QTLs for seed germination capability after various storage periods using two RIL populations in rice. Mol. Cells 31: 385-392
- Jiang XL, Deng ZY, Ru ZG, Wu P, Tian JC. 2013. Quantitative trait loci controlling amino acid contents in wheat (Triticum aestivum L.). Aust. J. Crop Sci. 7:820-829
- Liu HY, Quampah A, Chen JH, Li JR, Huang ZR, He QL, Shi CH, Zhu SJ. 2012. QTL analysis for gossypol and protein contents in upland cottonseeds with two different genetic systems across environments. Euphytica 188:453-463 https://doi.org/10.1007/s10681-012-0733-x
- Liu HY, Quampah A, Chen JH, Li JR, Huang ZR, He QL, Zhu SJ, Shi CH. 2013. QTL mapping based on different genetic systems for essential amino acid contents in cottonseeds in different environments. PLoS One 8: e57531 https://doi.org/10.1371/journal.pone.0057531
- Lu K, Li L, Zheng X, Zhang Z, Mou T, Hu Z. 2009. Genetic dissection of amino acid content in rice grain. J Sci Food Agric. 89:2377-2382 https://doi.org/10.1002/jsfa.3731
- Maclean JL, Dawe DC, Hardy B, Hettel GP. 2002. Rice almanac. 3rd edn. CABI Publishing: Wallingford, Oxon. 6-7
- Mather KA, Caicedo AL, Polato NR, Olsen KM, McCouch S, Purugganan MD. 2007. The extent of linkage disequilibrium in rice (Oryza sativa L.). Genetics 177:2223-2232 https://doi.org/10.1534/genetics.107.079616
- Meng L, Li H, Zhang L, Wang J. 2015. QTL IciMapping: integrated software for genetic linkage map construction and quantitative trait locus mapping in bi-parental populations. Crop J. 3:265-279
- Munck L, Pram NJ, Moller B, Jacobsen S, Sondergaard I, Engelsen SB, Norgaard L, Bro R. 2001. Exploring the phenotypic expression of a regulatory proteome-altering gene by spectroscopy and chemometrics. Anal. Chim. Acta. 446:171-186
- Navea IP, Dwiyanti MS, Park J, Kim B, Lee S, Huang X, Koh HJ, Chin, JH. 2017. Identification of quantitative trait loci for panicle length and yield related traits under different water and P application conditions in tropical region in rice (Oryza sativa L.). Euphytica 213(2):37 https://doi.org/10.1007/s10681-016-1822-z
- Panthee DR, Pantalone VR, Sams CE, Saxton AM, West DR, Orf JH, Killam AS. 2006. Quantitative trait loci controlling sulfur containing amino acids, methionine and cysteine, in soybean seeds. Theor. Appl. Genet. 112:546-553 https://doi.org/10.1007/s00122-005-0161-6
- Quampah A, Liu HY, Xu HM, Li JR, Wu JG, Zhu SJ, Shi, CH. 2012. Mapping of quantitative trait loci for oil content in cotton seed kernel. J. Genet. 91:289-295 https://doi.org/10.1007/s12041-012-0184-0
- Thomson MJ. 2014. High-throughput SNP genotyping to access crop improvement. Plant Breed. Biotechnol. 2:195-212 https://doi.org/10.9787/PBB.2014.2.3.195
- Thomson MJ, Zhao K, Wright M, McNally K, Rey J, Tung CW, Reynolds A, Scheffler B, Eizenga G, McClung A, Kim H, Ismail AM, de Ocampo M, Mojica C, Reveche MY, Dilla-Ermita CJ, Mauleon R, Leung H, Bustamante C, McCouch SR. 2012. High-throughput single nucleotide polymorphism genotyping for breeding applications in rice using the BeadXpress platform. Mol. Breed. 29:875-886 https://doi.org/10.1007/s11032-011-9663-x
- Wang LQ, Zhong M, Li XH, Yuan DJ, Xu YB, Liu HF, He YQ, Luo LJ, Zhang QF. 2008. The QTL controlling amino acid content in grains of rice (Oryza sativa) are co-localized with the regions involved in the amino acid metabolism pathway. Mol. Breed. 21:127-137
- Wen J, Xu JF, Long Y, Wu JG, Xu HM, Meng JL, Shi CH. 2016. QTL mapping based on the embryo and maternal genetic systems for non-essential amino acids in rapeseed (Brassica napus L.) meal. J. Sci. Food Agric. 96:465-473 https://doi.org/10.1002/jsfa.7112
- WHO. 1973. Energy and protein requirements. WHO Tech. Rep. Ser. 522. World Health Organization, Geneva
- Wright MH, Tung CW, Zhao K, Reynolds A, McCouch SR, Bustamante CD. 2010. ALCHEMY: a reliable method for automated SNP genotype calling for small batch sizes and highly homozygous populations. Bioinformatics 26:2952-2960 https://doi.org/10.1093/bioinformatics/btq533
- Zhao W, Park EJ, Chung JW, Park YJ, Chung IM, Ahn JK, Kim GH. 2009. Association analysis of the amino acid contents in rice. J. Integr. Plant Biol. 51:1126-1137 https://doi.org/10.1111/j.1744-7909.2009.00883.x
- Zheng X, Wu JG, Lou XH, Xu HM, Shi CH. 2008. QTL analysis of maternal and endosperm genomes for Histidine and Arginine in rice (Oryza sativa L.) across environments. Acta. Agron. Sin. 34:369-375 https://doi.org/10.1016/S1875-2780(08)60016-4
- Zhou Y, Cai HM, Xiao JH, Li XH, Zhang QF, Lian XM. 2009. Overexpression of aspartate aminotransferase genes in rice resulted in altered nitrogen metabolism and increased amino acid content in seeds. Theor. Appl. Genet. 118:13811390 https://doi.org/10.1007/s00122-009-0988-3