COMPLEMENTARY TOOLS UTILIZED IN THE PEA (Pisum sativum L.) BREEDING PROGRAM AT UNIVERSIDAD NACIONAL DE ROSARIO

Author:

Guindón M.F. 1,Cazzola F.1,Bermejo C.J.1,Espósito M.A.2,Gatti I.3,Cointry E.L.1

Affiliation:

1. Instituto de Investigaciones en Ciencias Agrarias de Rosario, Consejo Nacional de Investigaciones Científicas y Técnicas (IICAR-CONICET), Facultad de Ciencias Agrarias, Universidad Nacional de Rosario (UNR), Zavalla, Argentina

2. Instituto de Investigaciones en Ciencias Agrarias de Rosario, Consejo Nacional de Investigaciones Científicas y Técnicas (IICAR-CONICET), Facultad de Ciencias Agrarias, Universidad Nacional de Rosario (UNR), Zavalla, Argentina | Instituto Nacional de Tecnología Agropecuaria, EEA INTA Oliveros, Ruta Nacional 11 km 353, Oliveros, Santa Fe

3. CIUNR, Consejo de Investigadores de la Universidad Nacional de Rosario, Rosario, Argentina

Abstract

Conventional breeding can be complemented by different strategies that increase the efficiency of the methodologies and the current rate of increase in yields in order to meet demand. The use of molecular markers with the aim of developing linkage maps of the species, the use of Blup (Best Linear Unbiased Prediction) for an efficient selection of progenitors to hybridize, the use of in vitro culture to artificially increase the number of F1 plants or the use of digital phenotyping for efficient digital characterization that can be performed during the periodic and routine regeneration of accessions in germplasm collections. Key words: Molecular markers, Blup, in vitro culture, digital phenotyping.

Publisher

Sociedad Argentina de Genetica

Subject

Genetics(clinical),Genetics,Applied Microbiology and Biotechnology,Biotechnology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3