인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Comparative analysis of the created breeding samples is essentially a multi-criteria task, since they are evaluated by dozens of features (identifiers). So, wheat has 66, barley – 63, peas – 88, sorghum – 49, corn – 63, etc. The purpose of the study is to develop a methodology for a comprehensive assessment of features (identifiers) of winter barley breeding. The object of research is a statistical array of rank values of identifiers based on the results of their expert evaluation. A rank assessment was made of 27 winter barley identifiers, which form the basis of the variety passport and reflect morphological descriptors of traits, biological properties, disease resistance, yield, crop structure, chemical composition, technological qualities of the main product, and economic use. As a result of structuring the totality of statistical material, 14 significant and 8 insignificant features were identified, forming 69% and 25% of the identifier, respectively, in terms of rank weight. A scale of 100 points was established for the reference sample of the winter barley variety (Timofey of the ARC Donskoy breeding) for significant (C) and a set of significant and unimportant identifiers (CMC). The complex indicator was calculated as the sum of points for compared varieties Zhiguli, Vivat, Yerema, Marusya of the ANC "Donskoy" selection, taking into account the weighted share of their respective characteristics in digitized form relative to the characteristics of the reference sample. It has been established that it is sufficient to carry out a comparative assessment of various varieties of winter barley by significant identifiers, since the discrepancy between numerical indicators for C and CMC identifiers did not exceed 2.36%.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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