Total polyphenol content in adzuki bean (Vigna angularis) was positively correlated with elevation [41]. Near infrared spectroscopy (NIRS) provides

a quick and reliable method for estimating the protein, starch, and total polyphenol content in faba bean. Generally, powder samples produced more precise results than intact seed. The models for protein and starch content in the Pirfenidone concentration ground powder samples provided reliable prediction capability for evaluating germplasm resources. Two-step clustering analysis can be used for the rapid classification of seed nutrient components in crop research. Three groupings were obtained in faba beans and their features included high oil content of Group 1, the high protein content for Group 2, and high contents of starch and total polyphenol

for Group 3. These features demonstrated the influences of sowing date and geographical coordinates of production areas on the contents of principal constituents in faba bean. All these results support this new approach for screening of germplasm resources and its application in food or feed manufacture. This study was financed by the Modern Agro-industry Technology Research System (nycyty-018: Guixing Ren), the National Infrastructure of Crop Germplasm Resources and the Sci & Tech Innovation Program of CAAS. The authors appreciated Xuxiao Zong, Jianping Guan and Tao Yang for offering materials as well as Sancai Liu, Yan Li and Fang Liu for technological SCH772984 in vivo advice. “
“Plant germplasm denotes the genetic resources for plant breeding. A large number of germplasm accessions have been collected in gene banks all over the world, but methods for managing and utilizing such a large collection efficiently remain a challenging task for breeders. Frankel and Brown first proposed sampling the Quisqualic acid collections to yield a manageable sample or so-called “core collection” [1] and [2]. A core collection (CC) consists of a limited set of accessions derived from the collection (about 10% of the full collection), and represents

the genetic diversity of a species and its relatives with a minimum of repetitiveness. Owing to the reduced size, CC can be studied extensively and the derived information can be used to guide more efficient utilization of the much larger reserve collection. To date, CCs have been developed in many crops including rice [3], wheat [4], soybean [5], cotton [6] and peanut [7]. Usually the number of accessions in a CC is still too large for meaningful replicated evaluations at different locations, given the enormous sizes of the full collections (FCs) of many crops. To address this problem, Upadhyaya and Ortiz postulated the concept of the “mini core collection” [8]. Usually a mini core collection (MCC) consists of 10% of the accessions from the CC, so that the number of accessions is only about 1% of that of the FC.