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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
25/09/2016 |
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Actualizado : |
25/09/2016 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
GOÑI, C.; OTERO, A.; SYVERTSEN, J.P. |
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Afiliación : |
CARMEN TERESITA GOÑI ALTUNA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALVARO RICARDO OTERO CAMA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JAMES P. SYVERTSEN, Institute of Food and Agricultural Science (IFAS), Citrus Research and Education Center (CREC), University of Florida. |
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Título : |
Flooding affects fruitlet abscission in Satsuma Mandarin. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Acta Horticulturae, 2015, no.1065, p. 1407-1416. [Conference Paper] |
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ISBN : |
978-94-62610-53-8 |
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ISSN : |
0567-7572 |
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DOI : |
10.17660/ActaHortic.2015.1065.178 |
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Idioma : |
Inglés |
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Notas : |
Proc. XII International Citrus Congress - International Society of Citriculture. Eds. B. Sabater-Muñoz, P. Moreno, L. Peña, L. Navarro (3 vols.) |
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Contenido : |
ABSTRACT.
We tested the effect of soil hypoxia from flooding on fruit drop in a mature orchard of ?Satsuma mandarin? (Citrus unshiu Marcow) trees on Pomeroy (Poncirus trifoliate (L.) Raf.) rootstock. Trees were flooded for 30 days with 10 cm water above the soil surface using a 60 cm high aluminum barrier which was buried to depth a 45 cm around the trees. Flooding began at flower anthesis and lasted until early fruit set. Flooding reduced the soil oxygen levels from 5 to 2 µg O2 cm-2 min-1. Relative fruit drop rate was higher in flooded trees than in non-flooded trees and the spring flush shoot numbers was reduced by flooding but not shoot length. Shoot water potential was reduced but leaf chlorophyll was not affected in leaves. Flooding immediately reduced net CO2 assimilation rate (ACO2), stomatal conductance and reduced quantum yield efficiency of the PSII after 3 weeks. There were only small
changes in internal CO2 concentration in leaves and no changes in maximum quantum efficiency (Fv/Fm) or basal chlorophyll florescence (Fo). This suggested that non-stomatal factors were more important than stomatal factors in limiting ACO2. Root function was reduced and an accumulation leaf starch was related to early fruit drop. Soil hypoxia from anthesis to early fruit set induced fruitlet abscission in Satsuma mandarin and was linked to tree water relations. |
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Palabras claves : |
FRUIT DROP; HYPOXIA; LEAF FLUORESCENCE; LEAF PHOTOSYNTHESIS. |
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Thesagro : |
CITRUS. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02224naa a2200253 a 4500
001 1055731
005 2016-09-25
008 2015 bl uuuu u00u1 u #d
020 $a978-94-62610-53-8
022 $a0567-7572
024 7 $a10.17660/ActaHortic.2015.1065.178$2DOI
100 1 $aGOÑI, C.
245 $aFlooding affects fruitlet abscission in Satsuma Mandarin.$h[electronic resource]
260 $c2015
500 $aProc. XII International Citrus Congress - International Society of Citriculture. Eds. B. Sabater-Muñoz, P. Moreno, L. Peña, L. Navarro (3 vols.)
520 $aABSTRACT. We tested the effect of soil hypoxia from flooding on fruit drop in a mature orchard of ?Satsuma mandarin? (Citrus unshiu Marcow) trees on Pomeroy (Poncirus trifoliate (L.) Raf.) rootstock. Trees were flooded for 30 days with 10 cm water above the soil surface using a 60 cm high aluminum barrier which was buried to depth a 45 cm around the trees. Flooding began at flower anthesis and lasted until early fruit set. Flooding reduced the soil oxygen levels from 5 to 2 µg O2 cm-2 min-1. Relative fruit drop rate was higher in flooded trees than in non-flooded trees and the spring flush shoot numbers was reduced by flooding but not shoot length. Shoot water potential was reduced but leaf chlorophyll was not affected in leaves. Flooding immediately reduced net CO2 assimilation rate (ACO2), stomatal conductance and reduced quantum yield efficiency of the PSII after 3 weeks. There were only small changes in internal CO2 concentration in leaves and no changes in maximum quantum efficiency (Fv/Fm) or basal chlorophyll florescence (Fo). This suggested that non-stomatal factors were more important than stomatal factors in limiting ACO2. Root function was reduced and an accumulation leaf starch was related to early fruit drop. Soil hypoxia from anthesis to early fruit set induced fruitlet abscission in Satsuma mandarin and was linked to tree water relations.
650 $aCITRUS
653 $aFRUIT DROP
653 $aHYPOXIA
653 $aLEAF FLUORESCENCE
653 $aLEAF PHOTOSYNTHESIS
700 1 $aOTERO, A.
700 1 $aSYVERTSEN, J.P.
773 $tActa Horticulturae, 2015, no.1065, p. 1407-1416. [Conference Paper]
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
23/05/2016 |
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Actualizado : |
11/12/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
MASUDA, Y.; MISZTAL, I.; TSURUTA, S.; LEGARRA, A.; AGUILAR, I.; LOURENCO, D.A.L.; FRAGOMENI, B.O.; LAWLOR, T.J. |
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Afiliación : |
Department of Animal and Dairy Science, University of Georgia; Department of Animal and Dairy Science, University of Georgia; Department of Animal and Dairy Science, University of Georgia; INRA (Institut National de la Recherche Agronomique); IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Department of Animal and Dairy Science, University of Georgia; Department of Animal and Dairy Science, University of Georgia; Holstein Association USA Inc. |
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Título : |
Implementation of genomic recursions in single-step genomic best linear unbiased predictor for US Holsteins with a large number of genotyped animals. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
Journal of Dairy Science, 2016, v.99, no.3, p.1968-1974. OPEN ACCESS |
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DOI : |
10.3168/jds.2015-10540 |
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Idioma : |
Inglés |
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Notas : |
OPEN ACCESS. Received 19 October 2015, Accepted 1 December 2015, Available online 21 January 2016 |
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Contenido : |
ABSTRACT.
The objectives of this study were to develop and evaluate an efficient implementation in the computation of the inverse of genomic relationship matrix with the recursion algorithm, called the algorithm for proven and young (APY), in single-step genomic BLUP. We validated genomic predictions for young bulls with more than 500,000 genotyped animals in final score for US Holsteins. Phenotypic data included 11,626,576 final scores on 7,093,380 US Holstein cows, and genotypes were available for 569,404 animals. Daughter deviations for young bulls with no classified daughters in 2009, but at least 30 classified daughters in 2014 were computed using all the phenotypic data. Genomic predictions for the same bulls were calculated with single-step genomic BLUP using phenotypes up to 2009. We calculated the inverse of the genomic relationship matrix View the MathML source based on a direct inversion of genomic relationship matrix on a small subset of genotyped animals (core animals) and extended that information to noncore animals by recursion. We tested several sets of core animals including 9,406 bulls with at least 1 classified daughter, 9,406 bulls and 1,052 classified dams of bulls, 9,406 bulls and 7,422 classified cows, and random samples of 5,000 to 30,000 animals. Validation reliability was assessed by the coefficient of determination from regression of daughter deviation on genomic predictions for the predicted young bulls. The reliabilities were 0.39 with 5,000 randomly chosen core animals, 0.45 with the 9,406 bulls, and 7,422 cows as core animals, and 0.44 with the remaining sets. With phenotypes truncated in 2009 and the preconditioned conjugate gradient to solve mixed model equations, the number of rounds to convergence for core animals defined by bulls was 1,343; defined by bulls and cows, 2,066; and defined by 10,000 random animals, at most 1,629. With complete phenotype data, the number of rounds decreased to 858, 1,299, and at most 1,092, respectively. Setting up View the MathML source for 569,404 genotyped animals with 10,000 core animals took 1.3 h and 57 GB of memory. The validation reliability with APY reaches a plateau when the number of core animals is at least 10,000. Predictions with APY have little differences in reliability among definitions of core animals. Single-step genomic BLUP with APY is applicable to millions of genotyped animals.
© 2016, THE AUTHORS. Published by FASS and Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). MenosABSTRACT.
The objectives of this study were to develop and evaluate an efficient implementation in the computation of the inverse of genomic relationship matrix with the recursion algorithm, called the algorithm for proven and young (APY), in single-step genomic BLUP. We validated genomic predictions for young bulls with more than 500,000 genotyped animals in final score for US Holsteins. Phenotypic data included 11,626,576 final scores on 7,093,380 US Holstein cows, and genotypes were available for 569,404 animals. Daughter deviations for young bulls with no classified daughters in 2009, but at least 30 classified daughters in 2014 were computed using all the phenotypic data. Genomic predictions for the same bulls were calculated with single-step genomic BLUP using phenotypes up to 2009. We calculated the inverse of the genomic relationship matrix View the MathML source based on a direct inversion of genomic relationship matrix on a small subset of genotyped animals (core animals) and extended that information to noncore animals by recursion. We tested several sets of core animals including 9,406 bulls with at least 1 classified daughter, 9,406 bulls and 1,052 classified dams of bulls, 9,406 bulls and 7,422 classified cows, and random samples of 5,000 to 30,000 animals. Validation reliability was assessed by the coefficient of determination from regression of daughter deviation on genomic predictions for the predicted young bulls. The reliabilities were 0.39 with 5,000 rand... Presentar Todo |
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Palabras claves : |
FINAL SCORE; GENOMIC EVALUATION; GENOMIC RELATIONSHIP MATRIX. |
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Thesagro : |
SsGBLUP; TORO. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12160/1/1-s2.0-S0022030216000825-main.pdf
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Marc : |
LEADER 03610naa a2200289 a 4500
001 1054839
005 2018-12-11
008 2016 bl uuuu u00u1 u #d
024 7 $a10.3168/jds.2015-10540$2DOI
100 1 $aMASUDA, Y.
245 $aImplementation of genomic recursions in single-step genomic best linear unbiased predictor for US Holsteins with a large number of genotyped animals.$h[electronic resource]
260 $c2016
500 $aOPEN ACCESS. Received 19 October 2015, Accepted 1 December 2015, Available online 21 January 2016
520 $aABSTRACT. The objectives of this study were to develop and evaluate an efficient implementation in the computation of the inverse of genomic relationship matrix with the recursion algorithm, called the algorithm for proven and young (APY), in single-step genomic BLUP. We validated genomic predictions for young bulls with more than 500,000 genotyped animals in final score for US Holsteins. Phenotypic data included 11,626,576 final scores on 7,093,380 US Holstein cows, and genotypes were available for 569,404 animals. Daughter deviations for young bulls with no classified daughters in 2009, but at least 30 classified daughters in 2014 were computed using all the phenotypic data. Genomic predictions for the same bulls were calculated with single-step genomic BLUP using phenotypes up to 2009. We calculated the inverse of the genomic relationship matrix View the MathML source based on a direct inversion of genomic relationship matrix on a small subset of genotyped animals (core animals) and extended that information to noncore animals by recursion. We tested several sets of core animals including 9,406 bulls with at least 1 classified daughter, 9,406 bulls and 1,052 classified dams of bulls, 9,406 bulls and 7,422 classified cows, and random samples of 5,000 to 30,000 animals. Validation reliability was assessed by the coefficient of determination from regression of daughter deviation on genomic predictions for the predicted young bulls. The reliabilities were 0.39 with 5,000 randomly chosen core animals, 0.45 with the 9,406 bulls, and 7,422 cows as core animals, and 0.44 with the remaining sets. With phenotypes truncated in 2009 and the preconditioned conjugate gradient to solve mixed model equations, the number of rounds to convergence for core animals defined by bulls was 1,343; defined by bulls and cows, 2,066; and defined by 10,000 random animals, at most 1,629. With complete phenotype data, the number of rounds decreased to 858, 1,299, and at most 1,092, respectively. Setting up View the MathML source for 569,404 genotyped animals with 10,000 core animals took 1.3 h and 57 GB of memory. The validation reliability with APY reaches a plateau when the number of core animals is at least 10,000. Predictions with APY have little differences in reliability among definitions of core animals. Single-step genomic BLUP with APY is applicable to millions of genotyped animals. © 2016, THE AUTHORS. Published by FASS and Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
650 $aSsGBLUP
650 $aTORO
653 $aFINAL SCORE
653 $aGENOMIC EVALUATION
653 $aGENOMIC RELATIONSHIP MATRIX
700 1 $aMISZTAL, I.
700 1 $aTSURUTA, S.
700 1 $aLEGARRA, A.
700 1 $aAGUILAR, I.
700 1 $aLOURENCO, D.A.L.
700 1 $aFRAGOMENI, B.O.
700 1 $aLAWLOR, T.J.
773 $tJournal of Dairy Science, 2016$gv.99, no.3, p.1968-1974. OPEN ACCESS
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