Matches in SemOpenAlex for { <https://semopenalex.org/work/W2071193504> ?p ?o ?g. }
- W2071193504 endingPage "1583" @default.
- W2071193504 startingPage "1571" @default.
- W2071193504 abstract "ABSTRACT This paper was presented as part of the symposium entitled “Post‐Green Revolution Trends in Crop Yield Potential: Increasing, Stagnant or Greater Resistance to Stress.” In this presentation, we have focused on (i) uses of marker technology in determining the genetic basis of phenotypic expression and the manipulation of phenotypic variation in plants. This included the use of markers in understanding heterosis, in attempts to improve hybrid predictions, in quantitative trait locus (QTL) identification and mapping, in marker‐assisted selection (MAS), and in enhancing breeding success in the development of improved lines and hybrids; (ii) the role of genomics in developing a precise understanding of the genetic basis of phenotypic expression which will then provide more precision in the manipulation of phenotypic variation; and (iii) some attempts to integrate marker technology and genomics into empirical breeding strategies. In addition, we have focused on what has been successful as well as what has fallen short of expectations, and have suggested some of the possible reasons for the lack of success. Because of page limitations, we could not include an exhaustive review of the plant literature and have limited many of our examples to investigations in maize ( Zea mays L)." @default.
- W2071193504 created "2016-06-24" @default.
- W2071193504 creator A5043861312 @default.
- W2071193504 creator A5066978752 @default.
- W2071193504 creator A5089005966 @default.
- W2071193504 date "1999-11-01" @default.
- W2071193504 modified "2023-10-01" @default.
- W2071193504 title "Synergy of Empirical Breeding, Marker‐Assisted Selection, and Genomics to Increase Crop Yield Potential" @default.
- W2071193504 cites W1501545981 @default.
- W2071193504 cites W1819387938 @default.
- W2071193504 cites W1849027320 @default.
- W2071193504 cites W1904144572 @default.
- W2071193504 cites W1953530917 @default.
- W2071193504 cites W1954777732 @default.
- W2071193504 cites W1966205550 @default.
- W2071193504 cites W1969438627 @default.
- W2071193504 cites W1976575447 @default.
- W2071193504 cites W1984482533 @default.
- W2071193504 cites W1986721619 @default.
- W2071193504 cites W1989332166 @default.
- W2071193504 cites W1993322507 @default.
- W2071193504 cites W1995915207 @default.
- W2071193504 cites W2014269245 @default.
- W2071193504 cites W2019915835 @default.
- W2071193504 cites W2019970234 @default.
- W2071193504 cites W2021616212 @default.
- W2071193504 cites W2022914442 @default.
- W2071193504 cites W2023710071 @default.
- W2071193504 cites W2024317573 @default.
- W2071193504 cites W2026183499 @default.
- W2071193504 cites W2031413574 @default.
- W2071193504 cites W2039946862 @default.
- W2071193504 cites W2043789080 @default.
- W2071193504 cites W2046735481 @default.
- W2071193504 cites W2046813115 @default.
- W2071193504 cites W2046998753 @default.
- W2071193504 cites W2049354794 @default.
- W2071193504 cites W2049915254 @default.
- W2071193504 cites W2050835687 @default.
- W2071193504 cites W2051246561 @default.
- W2071193504 cites W2054292456 @default.
- W2071193504 cites W2058536183 @default.
- W2071193504 cites W2067871613 @default.
- W2071193504 cites W2077839962 @default.
- W2071193504 cites W2087831515 @default.
- W2071193504 cites W2094432357 @default.
- W2071193504 cites W2099108455 @default.
- W2071193504 cites W2100549932 @default.
- W2071193504 cites W2102369827 @default.
- W2071193504 cites W2112903813 @default.
- W2071193504 cites W2141209761 @default.
- W2071193504 cites W2150862295 @default.
- W2071193504 cites W2158983650 @default.
- W2071193504 cites W2325327568 @default.
- W2071193504 cites W2800866574 @default.
- W2071193504 cites W4244614924 @default.
- W2071193504 cites W4248785114 @default.
- W2071193504 cites W4254201755 @default.
- W2071193504 doi "https://doi.org/10.2135/cropsci1999.3961571x" @default.
- W2071193504 hasPublicationYear "1999" @default.
- W2071193504 type Work @default.
- W2071193504 sameAs 2071193504 @default.
- W2071193504 citedByCount "204" @default.
- W2071193504 countsByYear W20711935042012 @default.
- W2071193504 countsByYear W20711935042013 @default.
- W2071193504 countsByYear W20711935042014 @default.
- W2071193504 countsByYear W20711935042015 @default.
- W2071193504 countsByYear W20711935042016 @default.
- W2071193504 countsByYear W20711935042017 @default.
- W2071193504 countsByYear W20711935042018 @default.
- W2071193504 countsByYear W20711935042019 @default.
- W2071193504 countsByYear W20711935042020 @default.
- W2071193504 countsByYear W20711935042021 @default.
- W2071193504 countsByYear W20711935042022 @default.
- W2071193504 countsByYear W20711935042023 @default.
- W2071193504 crossrefType "journal-article" @default.
- W2071193504 hasAuthorship W2071193504A5043861312 @default.
- W2071193504 hasAuthorship W2071193504A5066978752 @default.
- W2071193504 hasAuthorship W2071193504A5089005966 @default.
- W2071193504 hasConcept C104317684 @default.
- W2071193504 hasConcept C106934330 @default.
- W2071193504 hasConcept C112592230 @default.
- W2071193504 hasConcept C116834253 @default.
- W2071193504 hasConcept C135763542 @default.
- W2071193504 hasConcept C141231307 @default.
- W2071193504 hasConcept C150903083 @default.
- W2071193504 hasConcept C153209595 @default.
- W2071193504 hasConcept C154945302 @default.
- W2071193504 hasConcept C155015343 @default.
- W2071193504 hasConcept C169282265 @default.
- W2071193504 hasConcept C18903297 @default.
- W2071193504 hasConcept C189206191 @default.
- W2071193504 hasConcept C199360897 @default.
- W2071193504 hasConcept C2779227213 @default.
- W2071193504 hasConcept C2992444039 @default.
- W2071193504 hasConcept C41008148 @default.
- W2071193504 hasConcept C48189365 @default.
- W2071193504 hasConcept C54355233 @default.