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  <Article>
    <Journal>
      <PublisherName>jart</PublisherName>
      <JournalTitle>Journal of Agriculture Research and Technology</JournalTitle>
      <PISSN>C</PISSN>
      <EISSN>o</EISSN>
      <Volume-Issue>47 (4)</Volume-Issue>
      <PartNumber/>
      <IssueTopic>Multidisciplinary</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>2022 Special Issue </Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>2022</Year>
        <Month>12</Month>
        <Day>31</Day>
      </PubDate>
      <ArticleType>Agricultural Engineering</ArticleType>
      <ArticleTitle>Association Analysis for Yield and its Attributing Components in Rice (Oriza sativa L) under Two Environments</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>3</FirstPage>
      <LastPage>10</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Anjali</FirstName>
          <LastName>Singh</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>N</CorrespondingAuthor>
          <ORCID/>
          <FirstName>O. P.</FirstName>
          <LastName>Verma</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>Y</CorrespondingAuthor>
          <ORCID/>
          <FirstName>Ankur Kumar</FirstName>
          <LastName>Singh</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>Y</CorrespondingAuthor>
          <ORCID/>
          <FirstName>Anand Mohan</FirstName>
          <LastName>Choudhary</LastName>
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>Y</CorrespondingAuthor>
          <ORCID/>
        </Author>
      </AuthorList>
      <DOI>10.56228/JART.2022.SP101</DOI>
      <Abstract>To enhance the yield potential of existing varieties along with creation of new varieties with stable and high yield potential is the basic aim of plant breeders. Keeping these points in view, his experiment was carried out to study the comparative performance and association of yield attributing characters with grain yield including path analysis in seventy three diverse rice genotypes at two research farms with different sodicity levels. The correlation coefficient analysis revealed the positively and significantly associated with productive tillers plant-1, fertile spikelet panicle-1, spikelet fertility %, biological yield plant-1 and 1000 grain weight while Path analysis showed biological yield plant-1, harvest index, chlorophyll content and 1000- grains weight had positive and high direct effect on grain yield respectively at both sodicity levels. Hence direct selection of any traits namely biological yield plant-1, harvest index, chlorophyll content and 1000 grain weight can be effective for future breeding programs to improve yield trait. Improvement in these traits will result in simultaneous improvement of yield.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>Correlation, Path Analysis, Rice (Oryza sativa L.), Yield, Yield Attributing Traits</Keywords>
      <URLs>
        <Abstract>https://jart.co.in/ubijournal-v1copy/journals/abstract.php?article_id=14420&amp;title=Association Analysis for Yield and its Attributing Components in Rice (Oriza sativa L) under Two Environments</Abstract>
      </URLs>
      <References>
        <ReferencesarticleTitle>References</ReferencesarticleTitle>
        <ReferencesfirstPage>16</ReferencesfirstPage>
        <ReferenceslastPage>19</ReferenceslastPage>
        <References/>
      </References>
    </Journal>
  </Article>
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