RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재 SCOPUS

      Identifying Superior Rainfed Barley Genotypes in Farmers' Fields Using Participatory Varietal Selection

      한글로보기

      https://www.riss.kr/link?id=A104991203

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      This study was carried out to identify superior barley genotypes for the rainfed areas of western Iran using a participatory varietal selection (PVS) approach. Three field experiments were conducted in two randomly selected farmers' fields and in one rainfed research station in the 2006 - 07 cropping season with 69 genotypes (including one local and one improved check). Several univariate and multivariate methods were used to analyze qualitative (farmers' scores) and quantitative (grain yield) data. Individual farmers'scores in each village were positively correlated, indicating that the farmers tended to discriminate genotypes in similar fashion,although the genotypes actually selected by farmers were different in the two villages. In recent years, a greater number of farmers in western Iran preferred the improved variety (Sararood-1) over the local barley (Mahali), while in this project the farmers preferred the new genotypes over the two checks. This was also verified by the quantitative data showing that the checks were outyielded by the new genotypes. Farmers were efficient in identifying the best genotypes for their specific environment, as shown by biplot analysis,indicating their competence in selection. The genotypes selected by the breeder and farmers were almost similar but some differences existed. In conclusion, PVS is a powerful way to involve farmers for selecting and testing new cultivars that are adapted to their needs, systems and environments.
      번역하기

      This study was carried out to identify superior barley genotypes for the rainfed areas of western Iran using a participatory varietal selection (PVS) approach. Three field experiments were conducted in two randomly selected farmers' fields and in one ...

      This study was carried out to identify superior barley genotypes for the rainfed areas of western Iran using a participatory varietal selection (PVS) approach. Three field experiments were conducted in two randomly selected farmers' fields and in one rainfed research station in the 2006 - 07 cropping season with 69 genotypes (including one local and one improved check). Several univariate and multivariate methods were used to analyze qualitative (farmers' scores) and quantitative (grain yield) data. Individual farmers'scores in each village were positively correlated, indicating that the farmers tended to discriminate genotypes in similar fashion,although the genotypes actually selected by farmers were different in the two villages. In recent years, a greater number of farmers in western Iran preferred the improved variety (Sararood-1) over the local barley (Mahali), while in this project the farmers preferred the new genotypes over the two checks. This was also verified by the quantitative data showing that the checks were outyielded by the new genotypes. Farmers were efficient in identifying the best genotypes for their specific environment, as shown by biplot analysis,indicating their competence in selection. The genotypes selected by the breeder and farmers were almost similar but some differences existed. In conclusion, PVS is a powerful way to involve farmers for selecting and testing new cultivars that are adapted to their needs, systems and environments.

      더보기

      참고문헌 (Reference)

      1 Francis TR, "Yield stability studied in short-season maize. I. A descriptive method for grouping genotypes" 58 : 1029-1034, 1978

      2 Fox PN, "Yield and adaptation of hexaploid spring triticale" 47 : 57-64, 1990

      3 Gabriel KR, "The biplot graphic display of matrices with application to principal component analysis" 58 : 453-467, 1971

      4 Snapp SS, "Sustainable soil management options for Malawi: Can small holder farmers grow more legumes? Agric" 91 : 159-174, 2002

      5 Nassar R, "Studies on estimation of phenotypic stability: Tests of significance for non-parametric measures of phenotypic stability" 43 : 45-53, 1987

      6 Abay F, "Specific adaptation of barley varieties in different locations in Ethiopia" 167 : 181-195, 2008

      7 Ceccarelli S, "Specific adaptation and breeding for marginal conditions" 77 : 205-219, 1994

      8 Yan W, "Singular-value partitioning in biplot analysis of multienvironment trial data" 94 : 990-996, 2002

      9 Atlin GN, "Selection response in subdivided target regions" 40 : 7-13, 2000

      10 Haghparast R, "Review on participatory bread wheat breeding program in Kermanshah, Iran under rainfed codition: Importance, opportunities and challenges. In Plant Science in Iran. Middle Eastern Russ" J. Plant Sci. Biotechnol 1-4, 2009

      1 Francis TR, "Yield stability studied in short-season maize. I. A descriptive method for grouping genotypes" 58 : 1029-1034, 1978

      2 Fox PN, "Yield and adaptation of hexaploid spring triticale" 47 : 57-64, 1990

      3 Gabriel KR, "The biplot graphic display of matrices with application to principal component analysis" 58 : 453-467, 1971

      4 Snapp SS, "Sustainable soil management options for Malawi: Can small holder farmers grow more legumes? Agric" 91 : 159-174, 2002

      5 Nassar R, "Studies on estimation of phenotypic stability: Tests of significance for non-parametric measures of phenotypic stability" 43 : 45-53, 1987

      6 Abay F, "Specific adaptation of barley varieties in different locations in Ethiopia" 167 : 181-195, 2008

      7 Ceccarelli S, "Specific adaptation and breeding for marginal conditions" 77 : 205-219, 1994

      8 Yan W, "Singular-value partitioning in biplot analysis of multienvironment trial data" 94 : 990-996, 2002

      9 Atlin GN, "Selection response in subdivided target regions" 40 : 7-13, 2000

      10 Haghparast R, "Review on participatory bread wheat breeding program in Kermanshah, Iran under rainfed codition: Importance, opportunities and challenges. In Plant Science in Iran. Middle Eastern Russ" J. Plant Sci. Biotechnol 1-4, 2009

      11 Ortiz-Ferrara G, "Partnering with farmers to accelerate adoption of new technologies in South Asia to improve wheat productivity" 157 : 399-407, 2007

      12 Morris ML, "Participatory plant breeding research: opportunities and challenges for the international crop improvement system" 136 : 21-34, 2004

      13 Witcombe JR, "Participatory plant breeding in maize: A case study from Gujarat" 130 : 413-422, 2003

      14 Snapp S, "Mother and baby trials: a novel trial design being tried out in Malawi. In TARGET"

      15 Kroonenberg PM, "Introduction to biplots for G x E tables. Department of Mathematics" Univ. of Queensland, Australia 1995

      16 Ashby JA, "Institutionalizing participatory, client-driven research and technology development in agriculture. In 2002. Quantitative Analysis of Data from Participatory Methods in Plant Breeding" CIMMYT 753-770, 1995

      17 Thapa DB, "Identifying superior wheat cultivars in participatory research on resource poor farms" 112 : 124-130, 2009

      18 De Groote H, "Identifying farmers’ preferences for new maize varieties in eastern Africa. In Quantitative Analysis of Data from Participatory Methods in Plant Breeding" CIM MYT 82-102, 2002

      19 Mohammadi R, "Grain yield stability of spring safflower (Carthamus tinctorius L.)" 59 : 546-553, 2008

      20 Yan W, "GGEBiplot–A Windows application for graphical analysis of multi-environment trial data and other types of two- way data" 93 : 1111-1118, 2001

      21 Yan W, "GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists" CRC Press, Boca Raton, FL 2003

      22 Danial D, "Farmers participation and breeding for durable disease resistance in the Andean region" 153 : 385-396, 2007

      23 Chambers R, "Farmers first: Farmer innovation and agricultural research" Intermediate Technology Publications 218-, 1989

      24 Cleveland DA, "Farmer plant breeding from a biological perspective: Implications for Collaborative Plant Breeding" CIMMYT Economics 1999

      25 Ortiz-Ferrara G, "Farmer participatory variety selection in South Asia. In Research Highlights of the Wheat Program 1999-2000" Centro Internacional de Mejoramiento de Maı´zy Trigo 33-37, 2001

      26 Witcombe JR, "Farmer participatory crop improvement. I. Varietal selection and breeding methods and their impact on biodiversity" 32 : 445-460, 1996

      27 Ceccarelli S, "Decentralized-participatory plant breeding: An example of demand driven research" 155 : 349-360, 2007

      28 Hohls T, "Conditions under which selection for mean productivity tolerance to environment stress, or stability should be used to improve year across a range of contrasting environments" 120 : 235-245, 2001

      29 Almekinders CJM, "Collaboration of farmers and breeders: Participatory crop improvement in perspective" 122 : 425-438, 2001

      30 Huehn M, "Beitrage zur erfassung der phanotypischen stabilitat" 10 : 112-117, 1979

      31 DeLacy IH, "Analysis of multi-environment trials– an historical perspective. In Plant Adaptation and Crop Improvement" International, Wallingford 39-124, 1996

      32 Byerlee D, "Agricultural research strategies for favored and marginal areas, the experience of farming system research in Pakistan" 29 : 155-171, 1993

      33 Ceccarelli S, "Adaptation to low/high input cultivation" 92 : 203-214, 1996

      34 Flores F, "A comparison of univariate and multivariate methods to analyze environments" 56 : 271-286, 1998

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2016-04-01 평가 SCOPUS 등재 (기타) KCI등재
      2015-12-01 평가 등재후보로 하락 (기타) KCI등재후보
      2011-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2010-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2008-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.09 0.09 0.11
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.12 0.11 0.226 0.05
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼