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ARS Home » Pacific West Area » Pullman, Washington » Plant Germplasm Introduction and Testing Research » Research » Publications at this Location » Publication #206386
Title: Yield Component Study of the USDA Pea Core Collection

Author
item Coyne, Clarice - Clare
item Brown, Allan
item WATT, C - WASHINGTON STATE UNIV
item BUTLER, R - NZ INST FOR CROP & FOOD
item TIMMERMAN-VAUGHAN, G - NZ INST FOR CROP & FOOD

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 8/15/2006
Publication Date: 11/15/2006
Citation: Coyne, C.J., Brown, A., Watt, C., Butler, R., Timmerman-Vaughan, G. 2006. Yield Component Study of the USDA Pea Core Collection [abstract]. ASA-CSSA-SSSA Annual Meeting Abstract. p. 273-12.

Interpretive Summary:

Technical Abstract: Cool season food legumes (peas, chickpeas, faba beans, and lentils) are excellent foods, low in fat and rich in protein, fiber, minerals and vitamins. Large-scale, cost-effective genome analysis techniques have been developed in plant model species (eg. Arabidopsis thaliana, Medicago truncatula) and the major food crops (soybean, maize, rice, wheat). These techniques can now be applied to other significant food crops, such as pea, to increase value and productivity through targeted addition of new positive gene variants (alleles) from germplasm collections yet previously undiscovered. This report is on the field study portion of a collaboration to apply of genomic tools (robotics, automated genotyping and sequencing, BAC libraries) to characterize an extensive germplasm collection using sequences targeted to traits of economic importance, primarily yield. The USDA refined pea core collection was grown in four environments in a randomized complete block design, plus a check cultivar used for spatial analysis of field trends in this large (1 ha and 0.8 ha) field plot experiments. Plants were sub-sampled from plots before harvest to assess plant height, nodes and yield components. At harvest, total harvest weight, total seed weight and 100 seed weight were measured. Each measurement was analysed by fitting a mixed model, fitted with residual maximum likelihood (REML). Results for 2004 and one location are presented here.