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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
25/04/2022 |
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Actualizado : |
25/04/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
KNIGHT, A. L.; PRETI, M.; BASOALTO, E.; MUJICA, V.; FAVARO, R.; ANGELI, S. |
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Afiliación : |
ALAN LEE KNIGHT, Instar Biologicals, Yakima, WA, United States; MICHELE PRETI, Faculty of Science and Technology, Free University of Bozen-Bolzano, Bolzano, Italy; ESTEBAN BASOALTO, Facultad de Ciencias Agrarias y Alimentarias; Instituto de Producción y Sanidad Vegetal, Universidad Austral de Chile, Valdivia, Chil; MARIA VALENTINA MUJICA TELIZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RICCARDO FAVARO, Faculty of Science and Technology, Free University of Bozen-Bolzano, Bolzano, Italy; SERGIO ANGELI, Faculty of Science and Technology, Free University of Bozen-Bolzano, Bolzano, Italy. |
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Título : |
Combining female removal with mating disruption for management of Cydia pomonella in apple. [Original paper]. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Entomologia Generalis, 2022, Volume 42, Issue 2, Pages 309-321. OPEN ACCESS. doi: https://doi.org/10.1127/entomologia/2021/1316 |
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ISSN : |
0171-8177 |
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DOI : |
10.1127/entomologia/2021/1316 |
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Idioma : |
Inglés |
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Notas : |
Article history: Manuscript received 18 February 2021; Revisions requested 2 May 2021; Modified version received 30 May 2021; Accepted 30 July 2021; Published online 4 October 2021; Published Mar 15, 2022.
Corresponding author: Angeli, S.; Faculty of Science and Technology, Free University of Bozen-Bolzano, Bolzano, Italy; email:sergio.angeli@unibz.it -- |
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Contenido : |
ABSTRACT.- Field studies tested the use of lure-baited traps for female removal (FR) of codling moth, Cydia pomonella L. (Lepidoptera: Tortricidae) in apple, Malus domestica Borkhausen, treated with sex pheromone-based mating disruption (MD-FR). Four lures were evaluated, including the combination of (E,Z)?2,4?ethyl decadienoate (pear ester, PE), (E)?4,8?dimethyl?1,3,7?nonatriene (DMNT), and 6-ethenyl-2,2,6-trimethyloxan-3-ol (pyranoid linalool oxide, LOX), these three components with (E,E)?8,10?dodecadien?1?ol (PH), and two lures loaded with PH/PE. All lures were used with a co-lure loaded with acetic acid (AA). Studies examined the importance of trap type and density on moth catches. Seventeen trials were conducted in 1-3 ha adjacent paired plots treated with or without 60 traps ha-1 in Washington State from 2018-2020. Paired plots were each treated with MD and a similar spray regime. The mating status of females in the MD-FR plots were compared with females collected from blocks not treated with MD. The PE/DMNT/LOX + AA lure caught significantly more females than any other lure. The most effective trap was a bucket trap with a green top and a clear bottom. Total or female moth catches per trap did not decline across trap densities from 37 to 99 ha-1. MD-FR trials showed that levels of fruit injury could be significantly reduced 50?75% across each moth flight. The proportion of mated females was 8 to 19% lower in blocks treated with MD-FR than not treated with MD. Further studies are needed to refine key operational factors associated with MD-FR considering the economics of organic and conventional apple production across key varieties. © 2021 The authors. MenosABSTRACT.- Field studies tested the use of lure-baited traps for female removal (FR) of codling moth, Cydia pomonella L. (Lepidoptera: Tortricidae) in apple, Malus domestica Borkhausen, treated with sex pheromone-based mating disruption (MD-FR). Four lures were evaluated, including the combination of (E,Z)?2,4?ethyl decadienoate (pear ester, PE), (E)?4,8?dimethyl?1,3,7?nonatriene (DMNT), and 6-ethenyl-2,2,6-trimethyloxan-3-ol (pyranoid linalool oxide, LOX), these three components with (E,E)?8,10?dodecadien?1?ol (PH), and two lures loaded with PH/PE. All lures were used with a co-lure loaded with acetic acid (AA). Studies examined the importance of trap type and density on moth catches. Seventeen trials were conducted in 1-3 ha adjacent paired plots treated with or without 60 traps ha-1 in Washington State from 2018-2020. Paired plots were each treated with MD and a similar spray regime. The mating status of females in the MD-FR plots were compared with females collected from blocks not treated with MD. The PE/DMNT/LOX + AA lure caught significantly more females than any other lure. The most effective trap was a bucket trap with a green top and a clear bottom. Total or female moth catches per trap did not decline across trap densities from 37 to 99 ha-1. MD-FR trials showed that levels of fruit injury could be significantly reduced 50?75% across each moth flight. The proportion of mated females was 8 to 19% lower in blocks treated with MD-FR than not treated with MD. Further ... Presentar Todo |
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Palabras claves : |
Attract-and-kill; Codling moth; Malus domestica; Mass trapping. |
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Thesagro : |
TORTRICIDAE. |
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Asunto categoría : |
H10 Plagas de las plantas |
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URL : |
https://www.schweizerbart.de/content/papers/download/100304
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Marc : |
LEADER 02909naa a2200277 a 4500
001 1063082
005 2022-04-25
008 2022 bl uuuu u00u1 u #d
022 $a0171-8177
024 7 $a10.1127/entomologia/2021/1316$2DOI
100 1 $aKNIGHT, A. L.
245 $aCombining female removal with mating disruption for management of Cydia pomonella in apple. [Original paper].$h[electronic resource]
260 $c2022
500 $aArticle history: Manuscript received 18 February 2021; Revisions requested 2 May 2021; Modified version received 30 May 2021; Accepted 30 July 2021; Published online 4 October 2021; Published Mar 15, 2022. Corresponding author: Angeli, S.; Faculty of Science and Technology, Free University of Bozen-Bolzano, Bolzano, Italy; email:sergio.angeli@unibz.it --
520 $aABSTRACT.- Field studies tested the use of lure-baited traps for female removal (FR) of codling moth, Cydia pomonella L. (Lepidoptera: Tortricidae) in apple, Malus domestica Borkhausen, treated with sex pheromone-based mating disruption (MD-FR). Four lures were evaluated, including the combination of (E,Z)?2,4?ethyl decadienoate (pear ester, PE), (E)?4,8?dimethyl?1,3,7?nonatriene (DMNT), and 6-ethenyl-2,2,6-trimethyloxan-3-ol (pyranoid linalool oxide, LOX), these three components with (E,E)?8,10?dodecadien?1?ol (PH), and two lures loaded with PH/PE. All lures were used with a co-lure loaded with acetic acid (AA). Studies examined the importance of trap type and density on moth catches. Seventeen trials were conducted in 1-3 ha adjacent paired plots treated with or without 60 traps ha-1 in Washington State from 2018-2020. Paired plots were each treated with MD and a similar spray regime. The mating status of females in the MD-FR plots were compared with females collected from blocks not treated with MD. The PE/DMNT/LOX + AA lure caught significantly more females than any other lure. The most effective trap was a bucket trap with a green top and a clear bottom. Total or female moth catches per trap did not decline across trap densities from 37 to 99 ha-1. MD-FR trials showed that levels of fruit injury could be significantly reduced 50?75% across each moth flight. The proportion of mated females was 8 to 19% lower in blocks treated with MD-FR than not treated with MD. Further studies are needed to refine key operational factors associated with MD-FR considering the economics of organic and conventional apple production across key varieties. © 2021 The authors.
650 $aTORTRICIDAE
653 $aAttract-and-kill
653 $aCodling moth
653 $aMalus domestica
653 $aMass trapping
700 1 $aPRETI, M.
700 1 $aBASOALTO, E.
700 1 $aMUJICA, V.
700 1 $aFAVARO, R.
700 1 $aANGELI, S.
773 $tEntomologia Generalis, 2022, Volume 42, Issue 2, Pages 309-321. OPEN ACCESS. doi: https://doi.org/10.1127/entomologia/2021/1316
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Registro original : |
INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
10/08/2020 |
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Actualizado : |
05/09/2022 |
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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 : |
BHATTA, M.; GUTIERREZ, L.; CAMMAROTA, L.; CARDOZO, F.; GERMAN, S.; GÓMEZ-GUERRERO, B.; PARDO, M.F.; LANARO, V.; SAYAS, M.; CASTRO, A.J. |
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Afiliación : |
MADHAV BHATTA, Department of Agronomy, University of Wisconsin-Madison, 1575 Linden Dr., WI, 53706, USA.; LUCIA GUTIERREZ, Agronomy, University of Wisconsin-Madison, 1575 Linden Dr., WI, 53706, USA.; LORENA CAMMAROTA, Department of plant production, Facultad de Agronomía, Universidad de la República, Ruta 3, Km363, Paysandú 60000, Uruguay./Maltería Uruguay S.A. Ruta 55, Km26, Ombúes de Lavalle, Uruguay.; FERNANDA CARDOZO, Maltería Uruguay S.A. Ruta 55, Km26, Ombúes de Lavalle, Uruguay.; SILVIA ELISA GERMAN FAEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; BLANCA GÓMEZ-GUERRERO, LATU Foundation, Av Italia 6201, Montevideo 11500, Uruguay.; MARÍA FERNANDA PARDO, Maltería Oriental S.A., Camino Abrevadero 5525, Montevideo 12400, Uruguay.; VALERIA LANARO, LATU Foundation, Av Italia 6201, Montevideo 11500, Uruguay.; MERCEDES SAYAS, Maltería Oriental S.A., Camino Abrevadero 5525, Montevideo 12400, Uruguay.; ARIEL J. CASTRO, Ariel J. Castro ?Department of plant production, Facultad de Agronomía, Universidad de la República, Ruta 3, Km363, Paysandú 60000, Uruguay,. |
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Título : |
Multi-trait genomic prediction model increased the predictive ability for agronomic and malting quality traits in barley (Hordeum vulgare L.). |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
G3: Genes, Genomes, Genetics, March 1, 2020 vol. 10 no. 3 1113-1124. Open Acces. Doi: https://doi.org/10.1534/g3.119.400968 |
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DOI : |
10.1534/g3.119.400968 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received July 26, 2019/Accepted January 22, 2020/Published online March 5, 2020. This work was funded in part by the following grants from ANII (FSA-1-2013-12977), CSIC (CSIC_I+D_ 1131 and CSIC_Movilidad_ 1131). The work was also funded by the Cereals Breeding and Quantitative Genetics group at the University of Wisconsin - Madison. We would like to acknowledge Dr. Juan Diaz at INIA, who developed the double haploid population and also contributed to the planning of the study. Malteria Oriental S.A. (MOSA) contributed with the experiments in their experimental areas and with some of the lab work. Malteria Uruguay S.A. (MUSA) contributed to the experiments in their experimental areas. We would also like to acknowledge: USDA-ARS small grains genotyping lab at Fargo, North Dakota for genotyping service; the Center for High Throughput Computing (CHTC) service at the University of Wisconsin-Madison for providing the high-performance computing resources; and Dr. Bettina Lado for sharing the R scripts. We would like to thank two anonymous reviewers and editors who provided constructive suggestions to this manuscript. |
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Contenido : |
Abstract:
Plant breeders regularly evaluate multiple traits across multiple environments, which opens an avenue for using multiple traits in genomic prediction models. We assessed the potential of multi-trait (MT) genomic prediction model through evaluating several strategies of incorporating multiple traits (eight agronomic and malting quality traits) into the prediction models with two cross-validation schemes (CV1, predicting new lines with genotypic information only and CV2, predicting partially phenotyped lines using both genotypic and phenotypic information from correlated traits) in barley. The predictive ability was similar for single (ST-CV1) and multi-trait (MT-CV1) models to predict new lines. However, the predictive ability for agronomic traits was considerably increased when partially phenotyped lines (MT-CV2) were used. The predictive ability for grain yield using the MT-CV2 model with other agronomic traits resulted in 57% and 61% higher predictive ability than ST-CV1 and MT-CV1 models, respectively. Therefore, complex traits such as grain yield are better predicted when correlated traits are used. Similarly, a considerable increase in the predictive ability of malting quality traits was observed when correlated traits were used. The predictive ability for grain protein content using the MT-CV2 model with both agronomic and malting traits resulted in a 76% higher predictive ability than ST-CV1 and MT-CV1 models. Additionally, the higher predictive ability for new environments was obtained for all traits using the MT-CV2 model compared to the MT-CV1 model. This study showed the potential of improving the genomic prediction of complex traits by incorporating the information from multiple traits (cost-friendly and easy to measure traits) collected throughout breeding programs which could assist in speeding up breeding cycles. MenosAbstract:
Plant breeders regularly evaluate multiple traits across multiple environments, which opens an avenue for using multiple traits in genomic prediction models. We assessed the potential of multi-trait (MT) genomic prediction model through evaluating several strategies of incorporating multiple traits (eight agronomic and malting quality traits) into the prediction models with two cross-validation schemes (CV1, predicting new lines with genotypic information only and CV2, predicting partially phenotyped lines using both genotypic and phenotypic information from correlated traits) in barley. The predictive ability was similar for single (ST-CV1) and multi-trait (MT-CV1) models to predict new lines. However, the predictive ability for agronomic traits was considerably increased when partially phenotyped lines (MT-CV2) were used. The predictive ability for grain yield using the MT-CV2 model with other agronomic traits resulted in 57% and 61% higher predictive ability than ST-CV1 and MT-CV1 models, respectively. Therefore, complex traits such as grain yield are better predicted when correlated traits are used. Similarly, a considerable increase in the predictive ability of malting quality traits was observed when correlated traits were used. The predictive ability for grain protein content using the MT-CV2 model with both agronomic and malting traits resulted in a 76% higher predictive ability than ST-CV1 and MT-CV1 models. Additionally, the higher predictive ability for ... Presentar Todo |
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Palabras claves : |
GENOMIC PREDICTION; GENPRED; GRAIN QUALITY; GRAIN YIELD; MALTING QUALITY; MULTI-ENVIRONMENT; MULTI-TRAIT; SHARED DATA RESOURCES. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16688/1/G3-Bethesda-2020.pdf
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7056970/pdf/1113.pdf
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Marc : |
LEADER 04092naa a2200349 a 4500
001 1061265
005 2022-09-05
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1534/g3.119.400968$2DOI
100 1 $aBHATTA, M.
245 $aMulti-trait genomic prediction model increased the predictive ability for agronomic and malting quality traits in barley (Hordeum vulgare L.).$h[electronic resource]
260 $c2020
500 $aArticle history: Received July 26, 2019/Accepted January 22, 2020/Published online March 5, 2020. This work was funded in part by the following grants from ANII (FSA-1-2013-12977), CSIC (CSIC_I+D_ 1131 and CSIC_Movilidad_ 1131). The work was also funded by the Cereals Breeding and Quantitative Genetics group at the University of Wisconsin - Madison. We would like to acknowledge Dr. Juan Diaz at INIA, who developed the double haploid population and also contributed to the planning of the study. Malteria Oriental S.A. (MOSA) contributed with the experiments in their experimental areas and with some of the lab work. Malteria Uruguay S.A. (MUSA) contributed to the experiments in their experimental areas. We would also like to acknowledge: USDA-ARS small grains genotyping lab at Fargo, North Dakota for genotyping service; the Center for High Throughput Computing (CHTC) service at the University of Wisconsin-Madison for providing the high-performance computing resources; and Dr. Bettina Lado for sharing the R scripts. We would like to thank two anonymous reviewers and editors who provided constructive suggestions to this manuscript.
520 $aAbstract: Plant breeders regularly evaluate multiple traits across multiple environments, which opens an avenue for using multiple traits in genomic prediction models. We assessed the potential of multi-trait (MT) genomic prediction model through evaluating several strategies of incorporating multiple traits (eight agronomic and malting quality traits) into the prediction models with two cross-validation schemes (CV1, predicting new lines with genotypic information only and CV2, predicting partially phenotyped lines using both genotypic and phenotypic information from correlated traits) in barley. The predictive ability was similar for single (ST-CV1) and multi-trait (MT-CV1) models to predict new lines. However, the predictive ability for agronomic traits was considerably increased when partially phenotyped lines (MT-CV2) were used. The predictive ability for grain yield using the MT-CV2 model with other agronomic traits resulted in 57% and 61% higher predictive ability than ST-CV1 and MT-CV1 models, respectively. Therefore, complex traits such as grain yield are better predicted when correlated traits are used. Similarly, a considerable increase in the predictive ability of malting quality traits was observed when correlated traits were used. The predictive ability for grain protein content using the MT-CV2 model with both agronomic and malting traits resulted in a 76% higher predictive ability than ST-CV1 and MT-CV1 models. Additionally, the higher predictive ability for new environments was obtained for all traits using the MT-CV2 model compared to the MT-CV1 model. This study showed the potential of improving the genomic prediction of complex traits by incorporating the information from multiple traits (cost-friendly and easy to measure traits) collected throughout breeding programs which could assist in speeding up breeding cycles.
653 $aGENOMIC PREDICTION
653 $aGENPRED
653 $aGRAIN QUALITY
653 $aGRAIN YIELD
653 $aMALTING QUALITY
653 $aMULTI-ENVIRONMENT
653 $aMULTI-TRAIT
653 $aSHARED DATA RESOURCES
700 1 $aGUTIERREZ, L.
700 1 $aCAMMAROTA, L.
700 1 $aCARDOZO, F.
700 1 $aGERMAN, S.
700 1 $aGÓMEZ-GUERRERO, B.
700 1 $aPARDO, M.F.
700 1 $aLANARO, V.
700 1 $aSAYAS, M.
700 1 $aCASTRO, A.J.
773 $tG3: Genes, Genomes, Genetics, March 1, 2020 vol. 10 no. 3 1113-1124. Open Acces. Doi: https://doi.org/10.1534/g3.119.400968
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