Foyer CH, Lam H-M, Nguyen HT, Siddique KHM, Varshney RK, Colmer TD, et al. Neglecting legumes has compromised human health and sustainable food production. Nat Plants. 2016;2:16112.<\/p>\n
Article<\/a>\u00a0 Watson CA, Reckling M, Preissel S, Bachinger J, Bergkvist G, Kuhlman T, et al. Grain legume production and use in European agricultural systems. Adv Agron. 2017;144:235\u2013303.<\/p>\n Article<\/a>\u00a0 Pilorg\u00e9 E, Muel F. What vegetable oils and proteins for 2030? Would the protein fraction be the future of oil and protein crops? OCL. 2016;23:D402.<\/p>\n Article<\/a>\u00a0 Feh\u00e9r A, Gazdecki M, V\u00e9ha M, Szak\u00e1ly M, Szak\u00e1ly Z. A comprehensive review of the benefits of and the barriers to the switch to a plant-based diet. Sustainability. 2020. https:\/\/doi.org\/10.3390\/su12104136<\/a>.<\/p>\n Article<\/a>\u00a0 Kurlovich BS. The history of lupin domestication. In: Kurlovich BS, editor. Lupins: geography, classification, genetic resources and breeding. St. Petersburg, Russia: Intan; 2002. pp. 147\u201364.<\/p>\n Lucas MM, Stoddard FL, Annicchiarico P, Fr\u00edas J, Mart\u00ednez-Villaluenga C, Sussmann D, et al. The future of lupin as a protein crop in Europe. Front Plant Sci. 2015;6:705.<\/p>\n Article<\/a>\u00a0 Abraham EM, Ganopoulos I, Madesis P, Mavromatis A, Mylona P, Nianiou-Obeidat I, et al. The use of lupin as a source of protein in animal feeding: genomic tools and breeding approaches. Int J Mol Sci. 2019;20:851.<\/p>\n Article<\/a>\u00a0 Boukid F, Pasqualone A. Lupine (Lupinus spp.) proteins: characteristics, safety and food applications. Eur Food Res Technol. 2022;248:345\u201356.<\/p>\n Article<\/a>\u00a0 Prusinski J. White lupin (Lupinus albus L.) \u2013 nutritional and health values in human nutrition \u2013 a review. Czech J Food Sci. 2017;35:95\u2013105.<\/p>\n Article<\/a>\u00a0 Pereira A, Ramos F, Sanches Silva A. Lupin (Lupinus albus L.) seeds: balancing the good and the bad and addressing future challenges. Molecules. 2022;27:8557.<\/p>\n Article<\/a>\u00a0 Boschin G, D\u2019Agostina A, Annicchiarico P, Arnoldi A. The fatty acid composition of the oil from Lupinus albus cv. luxe as affected by environmental and agricultural factors. Eur Food Res Technol. 2007;225:769\u201376.<\/p>\n Article<\/a>\u00a0 Boschin G, D\u2019Agostina A, Annicchiarico P, Arnoldi A. Effect of genotype and environment on fatty acid composition of Lupinus albus L. seed. Food Chem. 2008;108:600\u20136.<\/p>\n Article<\/a>\u00a0 Edwards AC, van Barneveld RJ. Lupins for livestock and fish. In: Gladstones JS, Atkins CA, Hamblin J, editors. Lupins as crop plants. Biology, production and utilization. New York: CAB International; 1998. pp. 385\u2013411.<\/p>\n Papineau J, Huyghe C. Le lupin Doux Prot\u00e9agineux. Paris: Editions France Agricole; 2004.<\/p>\n Szczepa\u0144ski A, Adamek-Urba\u0144ska D, Kasprzak R, Szudrowicz H, \u015aliwi\u0144ski J, Kamaszewski M. Lupin: a promising alternative protein source for aquaculture feeds? Aquac Rep. 2022;26:101281.<\/p>\n Article<\/a>\u00a0 Annicchiarico P. Adaptation of cool-season grain legume species across climatically-contrasting environments of Southern Europe. Agron J. 2008;100:1647\u201354.<\/p>\n Article<\/a>\u00a0 Cernay C, Pelzer E, Makowski D. A global experimental dataset for assessing grain legume production. Sci Data. 2016;3:160084.<\/p>\n Article<\/a>\u00a0 Green AG, Oram RN. Variability for protein and oil quality in Lupinus albus. Anim Feed Sci Technol. 1983;9:271\u201382.<\/p>\n Article<\/a>\u00a0 Terigar BG, Balasubramanian S, Sabliov CM, Lima M, Boldor D. Soybean and rice bran oil extraction in a continuous microwave system: from laboratory- to pilot-scale. J Food Eng. 2011;104:208\u201317.<\/p>\n Article<\/a>\u00a0 Annicchiarico P, Harzic N, Carroni AM. Adaptation, diversity, and exploitation of global white lupin (Lupinus albus L.) landrace genetic resources. Field Crops Res. 2010;119:114\u201324.<\/p>\n Article<\/a>\u00a0 Schwertfirm G, Schneider M, Haase F, Riedel C, Lazzaro M, Rege-Wehling, et al. Genome-wide association study revealed significant SNPs for anthracnose resistance, seed alkaloids and protein content in white lupin. Theor Appl Genet. 2024;137:155.<\/p>\n Article<\/a>\u00a0 Wink M. Quinolizidine alkaloids. In: Waterman P, editor. Methods in plant biochemistry. London: Academic; 1993. pp. 197\u2013239.<\/p>\n Aniszewski T. Alkaloids \u2013 Secrets of life. Amsterdam: Elsevier; 2007.<\/p>\n Mancinotti D, Frick KM, Geu-Flores F. Biosynthesis of quinolizidine alkaloids in lupins: mechanistic considerations and prospects for pathway elucidation. Nat Prod Rep. 2022;39:1423.<\/p>\n Article<\/a>\u00a0 Wink M. Quinolizidine and pyrrolizidine alkaloid chemical ecology \u2013 A mini-review on their similarities and differences. J Chem Ecol. 2019;45:109\u201315.<\/p>\n Article<\/a>\u00a0 Frick KM, Kamphuis LG, Siddique KH, Singh KB, Foley RC. Quinolizidine alkaloid biosynthesis in lupins and prospects for grain quality improvement. Front Plant Sci. 2017;8:87.<\/p>\n Article<\/a>\u00a0 Schrenk D, Bodin L, Chipman JK, del Mazo J, Grasl-Kraupp B, Hogstrand C, et al. Scientific opinion on the risks for animal and human health related to the presence of Quinolizidine alkaloids in feed and food, in particular in lupins and lupin-derived products. EFSA J. 2019;17:5860.<\/p>\n ACNFP. Report on seeds from narrow leafed lupin, appendix IX. London: MAFF; 1996.<\/p>\n ANZFA. Lupin alkaloids in food. A toxicological review and risk assessment. Aust N Z Food Auth Tech Rep Ser. 2001;3:1\u201321.<\/p>\n FIRAG. Risk assessment of alkaloid occurrence in lupin seed. Federal Institute for Risk Assessment Germany; 2017.<\/p>\n Estivi L, Buratti S, Fusi D, Benedetti S, Rodr\u00edguez G, Brandolini A, et al. Alkaloid content and taste profile assessed by electronic tongue of Lupinus albus seeds debittered by different methods. J Food Compos Anal. 2022;114:104810.<\/p>\n Article<\/a>\u00a0 Keuth O, Humpf HU, F\u00fcrst P. Quinolizidine alkaloids in lupine flour and lupine products from the German retail market and risk assessment of the results regarding human health. Food Addit Contam Part Chem Anal Control Expo Risk Assess 2023;Apr 3:1\u20138.<\/p>\n Jacob I, Feuerstein U, Heinz M, Schott M, Urbatzka P. Evaluation of new breeding lines of white lupin with improved resistance to anthracnose. Euphytica. 2017;213:236.<\/p>\n Article<\/a>\u00a0 Muzquiz M, Cuadrado C, Ayet G, de la Cuadra C, Burbano C, Osagie A. Variation of alkaloid components of lupin seeds in 49 genotypes of Lupinus albus from different countries and locations. J Agric Food Chem. 1994;42:1447\u201350.<\/p>\n Article<\/a>\u00a0 Brand TS, Brandt DA. Alkaloid content of South African lupins (L. luteus, L. albus and L. angustifolius species) and determination thereof by near infra-red reflectance spectroscopy. S Afr J Anim Sci. 2000;30(Suppl 1):11\u20132.<\/p>\n Boschin G, Annicchiarico P, Resta D, D\u2019Agostina A, Arnoldi A. Quinolizidine alkaloids in seeds of lupin genotypes from different origins. J Agric Food Chem. 2008;56:3657\u201363.<\/p>\n Article<\/a>\u00a0 Zafeiriou I, Polidoros AN, Baira E, Kasiotis KM, Machera K, Mylona PV. Mediterranean white lupin landraces as a valuable genetic reserve for breeding. Plants. 2021;10:2403.<\/p>\n Article<\/a>\u00a0 Madelou NA, Melliou E, Magiatis P. Quantitation of Lupinus spp. quinolizidine alkaloids by qNMR and accelerated debittering with a resin-based protocol. Molecules. 2024;29:582.<\/p>\n Article<\/a>\u00a0 Mancinotti D, Czepiel K, Taylor JL, Golshadi Galehshahi H, M\u00f8ller LA, Jensen MK, et al. The causal mutation leading to sweetness in modern white lupin cultivars. Sci Adv. 2023;9:eadg8866.<\/p>\n Article<\/a>\u00a0 Harrison JEM, Williams W. Genetical control of alkaloids in Lupinus albus. Euphytica. 1982;31:357\u201364.<\/p>\n Article<\/a>\u00a0 \u015awi\u0119cicki W, G\u00f3rny A, Barzyk P, Gaw\u0142owska M, Kaczmarek Z. Genetic analysis of alkaloid accumulation in seeds of white lupin (Lupinus albus L). Genetika. 2019;51:961\u201373.<\/p>\n Article<\/a>\u00a0 Osorio CE, Till BJ. A bitter-sweet story: unraveling the genes involved in quinolizidine alkaloid synthesis in Lupinus albus. Front Plant Sci. 2022;12:795091.<\/p>\n Article<\/a>\u00a0 Noffsinger SL, van Santen E. Evaluation of Lupinus albus L. germplasm for the southeastern USA. Crop Sci. 2005;45:1941\u201350.<\/p>\n Article<\/a>\u00a0 Annicchiarico P, Romani M, Pecetti L. White lupin variation for adaptation to severe drought stress. Plant Breed. 2018;137:782\u20139.<\/p>\n Article<\/a>\u00a0 Franguelli N, Cavalli D, Notario T, Pecetti L, Annicchiarico P. Frost tolerance improvement in pea and white lupin by a high-throughput phenotyping platform. Front Plant Sci. 2024;15:1490577.<\/p>\n Article<\/a>\u00a0 Adhikari KN, Buirchell BJ, Thomas GJ, Sweetingham MW, Yang H. Identification of anthracnose resistance in Lupinus albus L. and its transfer from landraces to modern cultivars. Crop Pasture Sci. 2012;60:472\u20139.<\/p>\n Article<\/a>\u00a0 Tosoroni A, Di Vittori V, Nanni L, Musari E, Papalini S, Bitocchi E, et al. Recent advances in molecular tools and pre-breeding activities in white lupin (Lupinus albus). Plants. 2025;14:914.<\/p>\n Article<\/a>\u00a0 Von Baer E, Perez I. Quality standard propositions for commercial grain of white lupin (Lupinus albus). In: Proceedings of the 6th International Lupin Conference. Temuco, Chile: International Lupin Association; 1991. p 158\u2013167.<\/p>\n Lin R, Renshaw D, Luckett D, Clements J, Yan G, Adhikari K, et al. Development of a sequence-specific PCR marker linked to the gene pauper conferring low-alkaloids in white lupin (Lupinus albus L.) for marker assisted selection. Mol Breed. 2009;23:153\u201361.<\/p>\n Article<\/a>\u00a0 Ksi\u0105\u017ckiewicz M, Nazzicari N, Yang H, Nelson MN, Renshaw D, Rychel S, et al. A high-density consensus linkage map of white lupin highlights synteny with narrow-leafed lupin and provides markers tagging key agronomic traits. Sci Rep. 2017;7:15335.<\/p>\n Article<\/a>\u00a0 Rychel S, Ksi\u0105\u017ckiewicz M. Development of gene-based molecular markers tagging low alkaloid pauper locus in white lupin (Lupinus albus L). J Appl Genet. 2019;60:269\u201381.<\/p>\n Article<\/a>\u00a0 Hufnagel B, Soriano A, Taylor J, Divol F, Kroc M, Sanders H, et al. Pangenome of white lupin provides insights into the diversity of the species. Plant Biotechnol J. 2021;19:2532\u201343.<\/p>\n Article<\/a>\u00a0 Rod\u00e9s-Bachs C, Van der Fels-Klerx HJ. Impact of environmental factors on the presence of Quinolizidine alkaloids in lupins: a review. Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2023;40:757\u201369.<\/p>\n Article<\/a>\u00a0 Cowling WA, Huyghe C, Swiecicki W. Lupin breeding. In: Gladstones JS, Atkins CA, Hamblin J, editors. Lupins as crop plants. Biology, production and utilization. New York: CAB International; 1998. pp. 93\u2013120.<\/p>\n Annicchiarico P, Manunza P, Arnoldi A, Boschin G. Quality of Lupinus albus L. (white lupin) seed: extent of genotypic and environmental effects. J Agric Food Chem. 2014;62:6539\u201345.<\/p>\n Article<\/a>\u00a0 Meuwissen THE, Hayes BJ, Goddard ME. Prediction of total genetic value using genome-wide dense marker maps. Genetics. 2001;157:1819\u201329.<\/p>\n Article<\/a>\u00a0 Heffner EL, Lorenz AJ, Jannink JL, Sorrells ME. Plant breeding with genomic selection: gain per unit time and cost. Crop Sci. 2010;50:1681\u201390.<\/p>\n Article<\/a>\u00a0 Elshire RJ, Glaubitz JC, Sun Q, Poland JA, Kawamoto K, Buckler ES, et al. A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species. PLoS One. 2011;6:e19379.<\/p>\n Article<\/a>\u00a0 Annicchiarico P, Nazzicari N, Ferrari B, Harzic N, Carroni AM, Romani M, et al. Genomic prediction of grain yield in contrasting environments for white lupin genetic resources. Mol Breed. 2019;39:142.<\/p>\n Article<\/a>\u00a0 Pecetti L, Annicchiarico P, Crosta M, Notario T, Ferrari B, Nazzicari N. White lupin drought tolerance: genetic variation, trait genetic architecture, and genome-enabled prediction. Int J Mol Sci. 2023;24:2351.<\/p>\n Article<\/a>\u00a0 Rychel-Bielska S, Nazzicari N, Plewi\u0144ski P, Bielski W, Annicchiarico P, Ksi\u0105\u017ckiewicz M. Development of PCR-based markers and whole-genome selection model for anthracnose resistance in white lupin (Lupinus albus L). J Appl Genet. 2020;61:531\u201345.<\/p>\n Article<\/a>\u00a0 Annicchiarico P, Nazzicari N, Ferrari B. Genetic and genomic resources in white lupin and the application of genomic selection. In: Singh KB, Kamphuis LG, Nelson MN, editors. The lupin genome. Cham, Switzerland: Springer Nature Switzerland AG; 2020. pp. 139\u201349.<\/p>\n Chapter<\/a>\u00a0 Annicchiarico P, de Buck A, Vlachostergios DN, Heupink D, Koskosidis A, Nazzicari N, et al. White lupin adaptation to environments with calcareous soils: phenotypic variation and genome-enabled prediction. Plants. 2023;12:1139.<\/p>\n Article<\/a>\u00a0 Buirchell BJ. Cowling WA. Genetic resources in lupins. In: Gladstones JS, Atkins CA, Hamblin J, editors. Lupins as crop plants. Biology, production and utilization. New York: CAB International; 1998. p. 41\u201366.<\/p>\n Petterson DS. Composition and food uses. In: Gladstones JS, Atkins CA, Hamblin J, editors. Lupins as crop plants. Biology, production and utilization. New York: CAB International; 1998. pp. 353\u201384.<\/p>\n Rybi\u0144ski W, \u015awi\u0119cicki W, Bocianowski J, B\u00f6rner A, Starzycka-Korbas E, Starzycki M. Variability of fat content and fatty acids profiles in seeds of a Polish white lupin (Lupinus albus L.) collection. Genet Resour Crop Evol. 2018;65:417\u201331.<\/p>\n Article<\/a>\u00a0 Green AG, Oram RN, Read BJ. Genetic variation for seed yield, protein content, oil content, and seed weight in Lupinus albus. Aust J Agric Res. 1977;28:785\u201393.<\/p>\n Article<\/a>\u00a0 Jimenez MD, Cubero JI, de Haro A. Genetic and environmental variability in protein, oil and fatty acid composition in high-alkaloid Hite lupin (Lupinus albus). J Sci Food Agric. 1991;55:27\u201335.<\/p>\n Article<\/a>\u00a0 Cowling WA, Tarr A. (2004) Effect of genotype and environment on seed quality in sweet narrow-leafed lupin (Lupinus angustifolius L.). Aust J Agric Res. 2004;55:745\u2013751.<\/p>\n Beyer H, Schmalenberg AK, Jansen G, J\u00fcrgens HU, Uptmoor R, Broer I, et al. Evaluation of variability, heritability and environmental stability of seed quality and yield parameters of L. angustifolius. Field Crops Res. 2015;174:40\u20137.<\/p>\n Article<\/a>\u00a0 Wink M, Carsten Meissner C, Witte L. Patterns of Quinolizidine alkaloids in 56 species of the genus Lupinus. Phytochem. 1995;38:139\u201353.<\/p>\n Article<\/a>\u00a0 Kroc M, Rybi\u0144ski W, Wilczura P, Kamel K, Kaczmarek Z, Barzyk P, et al. Quantitative and qualitative analysis of alkaloids composition in the seeds of a white lupin (Lupinus albus L.) collection. Genet Resour Crop Evol. 2017;64:1853\u201360.<\/p>\n Article<\/a>\u00a0 Namdar D, Mulder PPJ, Ben-Simchon E, Hacham Y, Basheer L, Cohen O, et al. New analytical approach to Quinolizidine alkaloids and their assumed biosynthesis pathways in lupin seeds. Toxins. 2024;16:163.<\/p>\n Article<\/a>\u00a0 Alkemade JA, Nazzicari N, Messmer MM, Annicchiarico P, Ferrari B, Voegele RT, et al. Genome-wide association study reveals white lupin candidate gene involved in anthracnose resistance. Theor Appl Genet. 2022;135:1011\u201324.<\/p>\n Article<\/a>\u00a0 Rychel-Bielska S, Bielski W, Surma A, Annicchiarico P, Belter J, Kozak B, et al. A GWAS study highlights significant associations between a series of indels in a FLOWERING LOCUS T gene promoter and flowering time in white lupin (Lupinus albus L). BMC Plant Biol. 2024;24:722.<\/p>\n Article<\/a>\u00a0 Annicchiarico P, Harzic N, Huyghe C, Carroni AM. Ecological classification of white lupin landrace genetic resources. Euphytica. 2011;180:17\u201325.<\/p>\n Article<\/a>\u00a0 Zhang J, Song Q, Cregan PB, Jiang GL. Genome-wide association study, genomic prediction and marker-assisted selection for seed weight in soybean (Glycine max). Theor Appl Genet. 2016;129:117\u201330.<\/p>\n Article<\/a>\u00a0 Roorkiwal M, Rathore A, Das RR, Singh MK, Jain A, Srinivasan S, et al. Genome-enabled prediction models for yield related traits in chickpea. Front Plant Sci. 2016;7:1666.<\/p>\n Article<\/a>\u00a0 Burstin J, Salloignon P, Chabert-Martinello M, Magnin-Robert J-B, Siol M, Jacquin F, et al. Genetic diversity and trait genomic prediction in a pea diversity panel. BMC Genomics. 2015;16:105.<\/p>\n Article<\/a>\u00a0 Crosta M, Romani M, Nazzicari N, Ferrari B, Annicchiarico P. Genomic prediction and allele mining of agronomic and morphophysiological traits in pea germplasm collections. Front Plant Sci. 2023;14:1320506.<\/p>\n Article<\/a>\u00a0 Cheng X, Cao J, Gao C, Gao W, Yan S, Yao H, et al. Identification of the wheat C3H gene family and expression analysis of candidates associated with seed dormancy and germination. Plant Physiol Biochem. 2020;156:524\u201353.<\/p>\n Article<\/a>\u00a0 Taheri H. Transcriptional modulation of structural and regulatory genes involved in isoprene biosynthesis and their relevance to oil yield and menthol content in peppermint (Mentha piperita L.) upon MeJA and GA 3 treatments. Russ J Plant Physiol. 2019;66:503\u20138.<\/p>\n Article<\/a>\u00a0 Du Y, Fu X, Chu Y, Wu P, Liu Y, Ma L, et al. Biosynthesis and the roles of plant sterols in development and stress responses. Int J Mol Sci. 2022;23:2332.<\/p>\n Article<\/a>\u00a0 Das KK, Mohapatra A, George AP, Chavali S, Witzel K, Ramireddy E. The proteome landscape of the root cap reveals a role for the jacalin-associated lectin JAL10 in the salt-induced endoplasmic reticulum stress pathway. Plant Commun. 2023;4:100726.<\/p>\n Article<\/a>\u00a0 Xu G, Ma H, Nei M, Kong H. Evolution of F-box genes in plants: different modes of sequence divergence and their relationships with functional diversification. Proc Natl Acad Sci U S A. 2009;106:835\u201340.<\/p>\n Article<\/a>\u00a0 Annicchiarico P, Thami Alami I. Enhancing white lupin (Lupinus albus L.) adaptation to calcareous soils through lime-tolerant plant germplasm and Bradyrhizobium strains. Plant Soil. 2012;350:134\u201344.<\/p>\n Article<\/a>\u00a0 Annicchiarico P, Romani M, Barzaghi S, Ferrari B, Carroni AM, Ruda P, et al. Detection and exploitation of white lupin (Lupinus albus L.) genetic variation for gamma-conglutin. J Appl Bot Food Qual. 2016;89:212\u20136.<\/p>\n CAS<\/a>\u00a0 Wink M, Hartmann T. Sites of enzymatic synthesis of quinolizidine alkaloids and their accumulation in Lupinus polyphyllus. Zeitschrift f\u00fcr Pflanzenphysiologie. 1981;102:337\u201344.<\/p>\n Article<\/a>\u00a0 Kirsten WJ, Hesselius GU. Rapid, automatic, high capacity Dumas determination of nitrogen. Microchem J. 1983;28:529\u201347.<\/p>\n Article<\/a>\u00a0 AOAC. Official Method of Analysis, Method 920.39, Fat (crude) or ether extract in animal feed. 18th edition. Gaithersburg, MD: AOAC International; 2005.<\/p>\n Ferrari B, Barzaghi S, Annicchiarico P. Development of NIRS calibrations for seed content of lipids and proteins in contrasting white lupin germplasm. In: Chu X, Guo L, Huang Y, Yuan H, editors. Sense the Real Change: Proceedings of the 20th International Conference on Near Infrared. Singapore: Chemical Industry Press; 2022. pp. 132\u20136.<\/p>\n Kennard RW, Stone LA. Computer aided design of experiments. Technometrics. 1969;11:137\u201348.<\/p>\n Article<\/a>\u00a0 Williams P. The RPD statistic: a tutorial note. NIR News. 2014;25:22\u20136.<\/p>\n Article<\/a>\u00a0 DeLacy IH, Basford KE, Cooper M, Bull IK, McLaren CG. Analysis of multi-environment trials \u2013 An historical perspective. In: Cooper M, Hammer GL, editors. Plant adaptation and crop improvement. Wallingford, UK: CABI; 1996. pp. 39\u2013124.<\/p>\n Itoh Y, Yamada Y. Relationships between genotype \u00d7 environment interaction and genetic correlation of the same trait measured in different environments. Theor Appl Genet. 1990;80:11\u20136.<\/p>\n Article<\/a>\u00a0 Robertson A. The sampling variance of the genetic correlation coefficient. Biometrics. 1959;15:469\u201385.<\/p>\n Article<\/a>\u00a0 SAS Institute. SAS\/STAT 9.2 user\u2019s guide. Cary, NC: SAS Institute; 2008.<\/p>\n Hufnagel B, Marques A, Soriano A, Marqu\u00e8s L, Divol F, Doumas P, et al. High-quality genome sequence of white lupin provides insight into soil exploration and seed quality. Nat Commun. 2020;11:492.<\/p>\n Article<\/a>\u00a0 Nazzicari N, Franguelli N, Ferrari B, Pecetti L, Annicchiarico P. The effect of genome parametrization and SNP marker subsetting on genomic selection in autotetraploid alfalfa. Genes. 2024;15:449.<\/p>\n Article<\/a>\u00a0 Nazzicari N, Biscarini F, Cozzi P, Brummer EC, Annicchiarico P. Marker imputation efficiency for genotyping-by-sequencing data in rice (Oryza sativa) and alfalfa (Medicago sativa). Mol Breed. 2016;36:69.<\/p>\n Article<\/a>\u00a0 Breiman L. Random forests. Mach Learn. 2001;45:5\u201332.<\/p>\n Article<\/a>\u00a0 Stekhoven DJ, B\u00fchlmann P. Missforest\u2013non-parametric missing value imputation for mixed-type data. Bioinformatics. 2012;28:112\u20138.<\/p>\n Article<\/a>\u00a0 Yendle PW, MacFie HJH. Discriminant principal components analysis. J Chemometrics. 1989;3:589\u2013600.<\/p>\n Article<\/a>\u00a0 Jombart T, Ahmed. Adegenet 1.3-1: new tools for the analysis of genome-wide SNP data. Bioinformatics. 2011;27:3070\u20131.<\/p>\n Article<\/a>\u00a0 Covarrubias-Pazaran G. Genome-assisted prediction of quantitative traits using the R package sommer. PLoS One. 2016;11:e0156744.<\/p>\n Article<\/a>\u00a0 Huang M, Liu X, Zhou Y, Summers RM, Zhang Z. BLINK: a package for the next level of genome-wide association studies with both individuals and markers in the millions. Gigascience. 2019;8:154.<\/p>\n Article<\/a>\u00a0 Wang J, Zhang Z. GAPIT version 3: boosting power and accuracy for genomic association and prediction. Genomics Proteomics Bioinf. 2021;19:629\u201340.<\/p>\n Article<\/a>\u00a0 Habier D, Fernando RL, Kizilkaya K, Garrick DJ. Extension of the bayesian alphabet for genomic selection. BMC Bioinformatics. 2011;12:1\u201312.<\/p>\n Article<\/a>\u00a0 Nazzicari N, Biscarini F. Stacked kinship CNN vs. GBLUP for genomic predictions of additive and complex continuous phenotypes. Sci Rep. 2022;12:19889.<\/p>\n Article<\/a>\u00a0 Wang X, Xu Y, Hu Z, Xu C. Genomic selection methods for crop improvement: current status and prospects. Crop J. 2018;6:330\u201340.<\/p>\n Article<\/a>\u00a0
\n PubMed<\/a>\u00a0
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\n Google Scholar<\/a>\u00a0\n <\/p>\n
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