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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
30/01/2020 |
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Actualizado : |
30/01/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
CUTI, L.; MURARO, D.S.; SILVA, V.A.; KASPARY, T. E.; BASSO, C.J.; ROGGIA, S. |
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Afiliación : |
L. CUTI, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil; D. S. MURARO, Universidade de São Paulo, Piracicaba, SP, Brazil; V. A. SILVA, Universidade Federal de Santa Maria, Santa Maria, RS, Brazil; TIAGO EDU KASPARY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; C. J. BASSO, Universidade Federal de Santa Maria, Frederico Westphalen, RS, Brazil; S. ROGGIA, Empresa Brasileira de Pesquisa Agropecuária, Embrapa Soja, Londrina, PR, Brazil. |
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Título : |
Leaf consumption and preference to conyza sp., conventional and bt soybean by helicoverpa armigera. [Consumo foliar e preferência alimentar de conyza sp., soja convencional e bt por helicoverpa armigera.] |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Planta Daninha, 2019, Volume 37, Article number e019211566. OPEN ACCESS. Doi: http://dx.doi.org/10.1590/s0100-83582019370100123 |
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ISSN : |
0100-8358 |
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DOI : |
10.1590/s0100-83582019370100123 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: August 13, 2018 / Accepted: February 27, 2019. |
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Contenido : |
ABSTRACT.
Helicoverpa armigera caterpillars are polyphagous and exhibit high migratory potential. Given the traits of this pest, alternative hosts located in or near the crop stand may support the survival and permanence of H. armigera in the field. The aim of this study was to investigate Conyza sp. as a food source for H. armigera caterpillars in scenarios with conventional and Bt soybean. Two experiments were conducted in biochemical oxygen demand incubators. The first assessed consumption of conventional soybean, Bt soybean and Conyza sp. leaves by 3rd and 5th instar caterpillars, with no choice given (no-choice test). The second test evaluated the food preference of 3rd instar H. armigera larvae, with two choices given (dual-choice test). Fifth instar larvae favored Conyza sp. leaves to Bt soybean, but preferred conventional soybean to both of these options. The survival of 3rd instar caterpillars did not differ statistically regardless of the plant species used as a food source. Fifth instar larvae fed Bt soybean exhibited lower survival rates when compared to Conyza sp. and conventional soybean. In dual-choice test arenas, soybean leaf consumption was superior to Conyza sp. Conventional soybean consumption was also greater when offered in conjunction with Bt soybean. Caterpillars offered Conyza sp. and Bt soybean leaves only consumed the weed species. Conyza sp. plants can serve as a food source for H. armigera larvae, which showed a preference for Conyza sp. leaves to Bt soybean. © 2019, Sociedade Brasileira da Ciencia das Plantas Daninha. All rights reserved. MenosABSTRACT.
Helicoverpa armigera caterpillars are polyphagous and exhibit high migratory potential. Given the traits of this pest, alternative hosts located in or near the crop stand may support the survival and permanence of H. armigera in the field. The aim of this study was to investigate Conyza sp. as a food source for H. armigera caterpillars in scenarios with conventional and Bt soybean. Two experiments were conducted in biochemical oxygen demand incubators. The first assessed consumption of conventional soybean, Bt soybean and Conyza sp. leaves by 3rd and 5th instar caterpillars, with no choice given (no-choice test). The second test evaluated the food preference of 3rd instar H. armigera larvae, with two choices given (dual-choice test). Fifth instar larvae favored Conyza sp. leaves to Bt soybean, but preferred conventional soybean to both of these options. The survival of 3rd instar caterpillars did not differ statistically regardless of the plant species used as a food source. Fifth instar larvae fed Bt soybean exhibited lower survival rates when compared to Conyza sp. and conventional soybean. In dual-choice test arenas, soybean leaf consumption was superior to Conyza sp. Conventional soybean consumption was also greater when offered in conjunction with Bt soybean. Caterpillars offered Conyza sp. and Bt soybean leaves only consumed the weed species. Conyza sp. plants can serve as a food source for H. armigera larvae, which showed a preference for Conyza sp. leaves t... Presentar Todo |
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Palabras claves : |
Alternative host; Hospedeiro alternativo; Planta daninha; Weed. |
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Thesagro : |
GLYCINE MAX. |
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Asunto categoría : |
A50 Investigación agraria |
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URL : |
http://www.scielo.br/pdf/pd/v37/0100-8358-PD-37-e019211566.pdf
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Marc : |
LEADER 02633naa a2200277 a 4500
001 1060726
005 2020-01-30
008 2019 bl uuuu u00u1 u #d
022 $a0100-8358
024 7 $a10.1590/s0100-83582019370100123$2DOI
100 1 $aCUTI, L.
245 $aLeaf consumption and preference to conyza sp., conventional and bt soybean by helicoverpa armigera. [Consumo foliar e preferência alimentar de conyza sp., soja convencional e bt por helicoverpa armigera.]$h[electronic resource]
260 $c2019
500 $aArticle history: Received: August 13, 2018 / Accepted: February 27, 2019.
520 $aABSTRACT. Helicoverpa armigera caterpillars are polyphagous and exhibit high migratory potential. Given the traits of this pest, alternative hosts located in or near the crop stand may support the survival and permanence of H. armigera in the field. The aim of this study was to investigate Conyza sp. as a food source for H. armigera caterpillars in scenarios with conventional and Bt soybean. Two experiments were conducted in biochemical oxygen demand incubators. The first assessed consumption of conventional soybean, Bt soybean and Conyza sp. leaves by 3rd and 5th instar caterpillars, with no choice given (no-choice test). The second test evaluated the food preference of 3rd instar H. armigera larvae, with two choices given (dual-choice test). Fifth instar larvae favored Conyza sp. leaves to Bt soybean, but preferred conventional soybean to both of these options. The survival of 3rd instar caterpillars did not differ statistically regardless of the plant species used as a food source. Fifth instar larvae fed Bt soybean exhibited lower survival rates when compared to Conyza sp. and conventional soybean. In dual-choice test arenas, soybean leaf consumption was superior to Conyza sp. Conventional soybean consumption was also greater when offered in conjunction with Bt soybean. Caterpillars offered Conyza sp. and Bt soybean leaves only consumed the weed species. Conyza sp. plants can serve as a food source for H. armigera larvae, which showed a preference for Conyza sp. leaves to Bt soybean. © 2019, Sociedade Brasileira da Ciencia das Plantas Daninha. All rights reserved.
650 $aGLYCINE MAX
653 $aAlternative host
653 $aHospedeiro alternativo
653 $aPlanta daninha
653 $aWeed
700 1 $aMURARO, D.S.
700 1 $aSILVA, V.A.
700 1 $aKASPARY, T. E.
700 1 $aBASSO, C.J.
700 1 $aROGGIA, S.
773 $tPlanta Daninha, 2019, Volume 37, Article number e019211566. OPEN ACCESS. Doi: http://dx.doi.org/10.1590/s0100-83582019370100123
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Registro original : |
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 : |
26/11/2015 |
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Actualizado : |
29/01/2020 |
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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 : |
LOURENCO, D. A. L.; TSURUTA, S.; FRAGOMENI, B. O.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; BERTRAND, J. K.; AMEN, T. S.; WANG. L.; MOSER, D. W.; MISZTAL, I. |
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Afiliación : |
D. A. L. LOURENCO, Universidad de Georgia (UG); SHOGO TSURUTA, Universidad de Georgia (UG); B. O. FRAGOMENI, Universidad de Georgia (UG); Y. MASUDA, Universidad de Georgia (UG); IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; A. LEGARRA, INRA (Institut National de la Recherche Agronomique); J. K. BERTRAND, Universidad de Georgia (UG); T. S. AMEN, Angus Genetics Inc.; L. WANG, Angus Genetics Inc.; D. W. MOSER, Angus Genetics Inc.; IGNACY MISZTAL, Universidad de Georgia (UG). |
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Título : |
Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus.(*) |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Journal of Animal Science, 2015, v. 93, p. 2653-2662. Published June 25, 2015. OPEN ACCESS. |
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DOI : |
10.2527/jas.2014-8836 |
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Idioma : |
Inglés |
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Notas : |
(*) This study was partially funded by the American Angus Association (St. Joseph, MO), Zoetis (Kalamazoo, MI), and Agriculture and Food Research Initiative Competitive Grants no. 2015-67015-22936 from the U.S. Department of Agriculture?s National Institute of Food and Agriculture. We gratefully acknowledge the very helpful comments by the two anonymous reviewers. |
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Contenido : |
ABSTRACT.
Predictive ability of genomic EBV when using single-step genomic BLUP (ssGBLUP) in Angus cattle was investigated. Over 6 million records were available on birth weight (BiW) and weaning weight (WW), almost 3.4 million on postweaning gain (PWG), and over 1.3 million on calving ease (CE). Genomic information was available on, at most, 51,883 animals,
which included high and low EBV accuracy animals. Traditional EBV was computed by BLUP and genomic EBV by ssGBLUP and indirect prediction based on SNP effects was derived from ssGBLUP; SNP effects were calculated based on the following reference populations: ref_2k (contains top bulls and top cows that had an EBV accuracy for BiW ≥0.85), ref_8k (contains all parents that were genotyped), and ref_33k (contains all genotyped animals born up to 2012). Indirect prediction was obtained as direct genomic value (DGV) or as an
index of DGV and parent average (PA). Additionally, runs with ssGBLUP used the inverse of the genomic relationship matrix calculated by an algorithm for proven and young animals (APY) that uses recursions on a small subset of reference animals. An extra reference subset included 3,872 genotyped parents of genotyped animals (ref_4k). Cross-validation was used to assess predictive ability on a validation population of 18,721 animals born in 2013. Computations for growth traits used multiple-trait linear model and, for CE, a bivariate CE?BiW threshold-linear model. With BLUP, predictivities were 0.29, 0.34, 0.23, and 0.12 for BiW, WW, PWG, and CE, respectively. With ssGBLUP and ref_2k, predictivities were 0.34, 0.35, 0.27, and 0.13 for BiW, WW, PWG, and CE, respectively, and with ssGBLUP and ref_33k, predictivities were 0.39, 0.38, 0.29, and 0.13 for BiW, WW, PWG, and CE, respectively. Low predictivity for CE was due to low incidence rate of difficult calving. Indirect predictions with ref_33k were as accurate as with full ssGBLUP. Using the APY and recursions on ref_4k gave 88% gains of full ssGBLUP and using the APY and recursions on ref_8k gave 97% gains of full ssGBLUP. Genomic evaluation in beef cattle with ssGBLUP is feasible while keeping the models (maternal, multiple trait, and threshold) already used in regular BLUP. Gains in predictivity are dependent on the composition of the reference population. Indirect predictions via SNP effects derived from ssGBLUP allow for accurate genomic predictions on young animals, with no advantage of including PA in
the index if the reference population is large. With the APY conditioning on about 10,000 reference animals, ssGBLUP is potentially applicable to a large number of genotyped animals without compromising predictive ability.
© 2015 American Society of Animal Science. All rights reserved MenosABSTRACT.
Predictive ability of genomic EBV when using single-step genomic BLUP (ssGBLUP) in Angus cattle was investigated. Over 6 million records were available on birth weight (BiW) and weaning weight (WW), almost 3.4 million on postweaning gain (PWG), and over 1.3 million on calving ease (CE). Genomic information was available on, at most, 51,883 animals,
which included high and low EBV accuracy animals. Traditional EBV was computed by BLUP and genomic EBV by ssGBLUP and indirect prediction based on SNP effects was derived from ssGBLUP; SNP effects were calculated based on the following reference populations: ref_2k (contains top bulls and top cows that had an EBV accuracy for BiW ≥0.85), ref_8k (contains all parents that were genotyped), and ref_33k (contains all genotyped animals born up to 2012). Indirect prediction was obtained as direct genomic value (DGV) or as an
index of DGV and parent average (PA). Additionally, runs with ssGBLUP used the inverse of the genomic relationship matrix calculated by an algorithm for proven and young animals (APY) that uses recursions on a small subset of reference animals. An extra reference subset included 3,872 genotyped parents of genotyped animals (ref_4k). Cross-validation was used to assess predictive ability on a validation population of 18,721 animals born in 2013. Computations for growth traits used multiple-trait linear model and, for CE, a bivariate CE?BiW threshold-linear model. With BLUP, predictivities were 0.29,... Presentar Todo |
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Palabras claves : |
BEEF CATTLE; GENETIC RESURSION; INDIRECT PREDICTION. |
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Thesagro : |
GANADO DE CARNE; GENOMIC SELECTION; MEJORAMIENTO GENETICO ANIMAL. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5303/1/Lourenco-et-al-2015-JAS.pdf
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Marc : |
LEADER 04125naa a2200337 a 4500
001 1054005
005 2020-01-29
008 2015 bl uuuu u00u1 u #d
024 7 $a10.2527/jas.2014-8836$2DOI
100 1 $aLOURENCO, D. A. L.
245 $aGenetic evaluation using single-step genomic best linear unbiased predictor in American Angus.(*)$h[electronic resource]
260 $c2015
500 $a(*) This study was partially funded by the American Angus Association (St. Joseph, MO), Zoetis (Kalamazoo, MI), and Agriculture and Food Research Initiative Competitive Grants no. 2015-67015-22936 from the U.S. Department of Agriculture?s National Institute of Food and Agriculture. We gratefully acknowledge the very helpful comments by the two anonymous reviewers.
520 $aABSTRACT. Predictive ability of genomic EBV when using single-step genomic BLUP (ssGBLUP) in Angus cattle was investigated. Over 6 million records were available on birth weight (BiW) and weaning weight (WW), almost 3.4 million on postweaning gain (PWG), and over 1.3 million on calving ease (CE). Genomic information was available on, at most, 51,883 animals, which included high and low EBV accuracy animals. Traditional EBV was computed by BLUP and genomic EBV by ssGBLUP and indirect prediction based on SNP effects was derived from ssGBLUP; SNP effects were calculated based on the following reference populations: ref_2k (contains top bulls and top cows that had an EBV accuracy for BiW ≥0.85), ref_8k (contains all parents that were genotyped), and ref_33k (contains all genotyped animals born up to 2012). Indirect prediction was obtained as direct genomic value (DGV) or as an index of DGV and parent average (PA). Additionally, runs with ssGBLUP used the inverse of the genomic relationship matrix calculated by an algorithm for proven and young animals (APY) that uses recursions on a small subset of reference animals. An extra reference subset included 3,872 genotyped parents of genotyped animals (ref_4k). Cross-validation was used to assess predictive ability on a validation population of 18,721 animals born in 2013. Computations for growth traits used multiple-trait linear model and, for CE, a bivariate CE?BiW threshold-linear model. With BLUP, predictivities were 0.29, 0.34, 0.23, and 0.12 for BiW, WW, PWG, and CE, respectively. With ssGBLUP and ref_2k, predictivities were 0.34, 0.35, 0.27, and 0.13 for BiW, WW, PWG, and CE, respectively, and with ssGBLUP and ref_33k, predictivities were 0.39, 0.38, 0.29, and 0.13 for BiW, WW, PWG, and CE, respectively. Low predictivity for CE was due to low incidence rate of difficult calving. Indirect predictions with ref_33k were as accurate as with full ssGBLUP. Using the APY and recursions on ref_4k gave 88% gains of full ssGBLUP and using the APY and recursions on ref_8k gave 97% gains of full ssGBLUP. Genomic evaluation in beef cattle with ssGBLUP is feasible while keeping the models (maternal, multiple trait, and threshold) already used in regular BLUP. Gains in predictivity are dependent on the composition of the reference population. Indirect predictions via SNP effects derived from ssGBLUP allow for accurate genomic predictions on young animals, with no advantage of including PA in the index if the reference population is large. With the APY conditioning on about 10,000 reference animals, ssGBLUP is potentially applicable to a large number of genotyped animals without compromising predictive ability. © 2015 American Society of Animal Science. All rights reserved
650 $aGANADO DE CARNE
650 $aGENOMIC SELECTION
650 $aMEJORAMIENTO GENETICO ANIMAL
653 $aBEEF CATTLE
653 $aGENETIC RESURSION
653 $aINDIRECT PREDICTION
700 1 $aTSURUTA, S.
700 1 $aFRAGOMENI, B. O.
700 1 $aMASUDA, Y.
700 1 $aAGUILAR, I.
700 1 $aLEGARRA, A.
700 1 $aBERTRAND, J. K.
700 1 $aAMEN, T. S.
700 1 $aWANG. L.
700 1 $aMOSER, D. W.
700 1 $aMISZTAL, I.
773 $tJournal of Animal Science, 2015$gv. 93, p. 2653-2662. Published June 25, 2015. OPEN ACCESS.
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