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Aquaculture

Genotype by production environment interaction in the GIFT strain of Nile tilapia (Oreochromis niloticus)
Hooi Ling Khawa, c, Raul W. Ponzonia, Azhar Hamzahb, Khairul Rizal Abu-Bakara, Piter Bijmac
a WorldFish Center, Jalan Batu Maung, 11960 Batu Maung, Penang, Malaysia
b National Prawn Fry Production & Research Center (NAPFRE), Kg. P. Sayak, 08500 Kedah, Malaysia
c Animal Breeding and Genomic Centre, Wageningen University, Marijkeweg 40, 6709PG Wageningen, The Netherlands
Aquaculture, Volumes 326–329, 25 January 2012, Pages 53–60. Abstract

Genetic variation in parasite resistance of Atlantic salmon to amoebic gill disease over multiple infections
Peter D. Kube, Richard S. Taylor, Nicholas G. Elliott
CSIRO Food Futures Flagship and CSIRO Marine and Atmospheric Research, GPO Box 1538, Hobart Tasmania 7001, Australia
Aquaculture, 2012.08.26 (full citation to follow). Abstract

Donor-oyster derived heritability estimates and the effect of genotype × environment interaction on the production of pearl quality traits in the silver-lip pearl oyster, Pinctada maxima
Dean R. Jerrya, Renate Kvingedala, Curtis E. Linda, d, Brad S. Evansa, Joseph J.U. Taylorb, Alex E. Safaric, d
a Aquaculture Genetics Research Group, Centre for Sustainable Tropical Fisheries and Aquaculture and School of Marine and Tropical Biology, James Cook University, Townsville, Queensland 4811, Australia
b Atlas South Sea Pearl, 43 York St. Subiaco, WA 6008, Australia
c Seafood CRC, Flinders University, Adelaide, SA 5042, Australia
d Worldfish Center, Jalan Batu Maung, 11960 Bayan Lepas, Penang, Malaysia
Aquaculture, Volumes 338–341, 29 March 2012, Pages 66–71. Abstract

Crop Protection

Weed age affects chemical control of Conyza bonariensis in fallows
Steven Walkera, Luke Boucherb, Tony Cookc, Bill Davidsonc, Andrew McLeanb, Michael Widderickb
The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, P.O. Box 2282, Toowoomba 4350, Australia
Leslie Research Centre, Department of Employment, Economic Development and Innovation, P.O. Box 2282, Toowoomba 4350, Australia
c Tamworth Agricultural Institute, New South Wales Department of Primary Industries, Calala 2340, Australia
Crop Protection, Volume 38, August 2012, Pages 15–20. Abstract

Crop Science

Changes in Yield and Yield Components of Single-Cross Maize Hybrids Released in China between 1964 and 2000

Tianyu Wangaf, Xinglin Maaf, Yu Liaf, Dapeng Baiaf, Cheng Liuc, Zhizhai Liua, Xianjie Tana, Yunsu Shia, Yanchun Songa, Mario Carloned, David Bubecke, Hans Bhardwaje, Elizabeth Jonese, Kevin Wrighte and Stephen Smith *e

Author Affiliations
a Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
f contributed equally to the work
c Institute of Cereal Crops, Xinjiang Academy of Agricultural Sciences, Urumqi 830091, China
d Pioneer Hi-Bred International, 19741 Illinois Highway 26, Princeton, IL, 61356
e Pioneer Hi-Bred International, 7300 NW 62nd Ave., Johnston, IA, 50131

The objectives of this study were to (i) measure genetic gain using a set of maize (Zea mays L.) single-cross hybrids that were widely used in Chinese maize production from 1964 to 2001, (ii) determine if there were changes in morphological characteristics, and (iii) examine the germplasm backgrounds of these hybrids. Yield trials were conducted for 3 yr, using a split-plot design. Each hybrid was planted at three different densities in four locations, two locations each representing summer and spring corn areas. Mean rates of genetic gain were 52 kg ha−1 yr−1 when measured at the spring locations, 69 kg ha−1 yr−1 when measured at the summer locations, and 60 kg ha−1 yr−1 when measured across all locations. There was no significant effect of planting density on genetic gain. Genetic gain has been largely contributed by increased yield per plant and this strategy was reflected in changes in ear and plant morphology. Analyses of pedigree backgrounds showed continuing dependence on U.S. germplasm backgrounds, notably C103, Oh43, Mo17, and Iowa Stiff Stalk Synthetic (BSSS).

Changes in Yield and Yield Components of Single-Cross Maize Hybrids Released in China between 1964 and 2000
Crop Sci. 2011 51: 512–525 10.2135/cropsci2010.06.0383 Full article here.

Journal of Animal Science

Genetic parameters for androstenone, skatole, indole, and human nose scores as measures of boar taint and their relationship with finishing traits
J. J. Windig*,2, H. A. Mulder*, J. ten Napel*, E. F. Knol, P. K. Mathur and R. E. Crump*,†
*Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, P.O. Box 65, 8200 AB Lelystad, the Netherlands
IPG, Institute for Pig Genetics B.V., P.O. Box 43, 6640 AA, Beuningen, the Netherlands
2Corresponding author
J. Anim Sci. 2012; 90:2120-2129.  Abstract

Genetic parameters for racing records in trotters using linear and generalized linear models
M. Suontama*,§,2, J.H.J. van der Werf§, J. Juga* and M. Ojala*
*University of Helsinki, Department of Agricultural Sciences, P.O. Box 28, 00014 Helsinki, Finland
§University of New England, School of Environmental and Rural Science, Armidale, Australia
2Corresponding author
J. Anim Sci. 2012;  10.2527/jas.2011-4526  Abstract

Direct and associative effects for androstenone and genetic correlations with backfat and growth in entire male pigs
N. Duijvesteijn*,†,2, E.F. Knol* and P. Bijma
*Institute for Pig Genetics (IPG), P.O. Box 43, 6640 AA Beuningen, the Netherlands; and
Animal Breeding and Genomics Centre, Wageningen University, PO Box 338, 6700 AH Wageningen, the Netherlands
2Corresponding author
J. Anim Sci. 2012; 90:2465-2475.  Abstract

Genomic-polygenic evaluation of Angus-Brahman multibreed cattle for feed efficiency and postweaning growth using the Illumina 3K chip
M. A. Elzo*,2, G. C. Lamb, D. D. Johnson*, M. G. Thomas, I. Misztal§, D. O. Rae#, C. A. Martinez*, J. G. Wasdin* and J. D. Driver*
*Department of Animal Sciences, University of Florida, Gainesville 32611
North Florida Research and Education Center, University of Florida, Marianna 32446
Department of Animal and Range Sciences, New Mexico State University, Las Cruces 88003
§Department of Animal and Dairy Science, University of Georgia, Athens 30602; and
#Department of Large Animal Clinical Sciences, University of Florida, Gainesville 32611
2Corresponding author
J. Anim Sci. 2012; 90:2488-2497.  Abstract

Production and processing studies on calpain-system gene markers for beef tenderness: Consumer assessments of eating quality
D. L. Robinson*,†,2, L. M. Cafe*,†, B. L. McIntyre*,‡, G. H. Geesink*,§, W. Barendse*,#, D. W. Pethick*,‖, J. M. Thompson*,§, R. Polkinghorne and P. L. Greenwood*,†
*Australian Cooperative Research Centre for Beef Genetic Technologies, University of New England, Armidale, NSW 2351, Australia
New South Wales Department of Primary Industries, Beef Industry Centre, University of New England, Armidale, New South Wales 2351, Australia
Department of Agriculture and Food, Western Australia, South Perth, WA 6151, Australia
§Department of Meat Science, University of New England, Armidale, NSW 2351, Australia
#Commonwealth Scientific and Industrial Research Organisation Livestock Industries, Queensland Bioscience Precinct, St Lucia, Qld 4067, Australi
School of Veterinary and Biomedical Science, Murdoch University, Murdoch, WA 6150, Australia
Marrinya Agricultural Enterprises, Wuk Wuk, Vic. 3875, Australia
2Corresponding autho
J. Anim Sci. 2012; 90:2850-2860.  Abstract

Journal of Cereal Science

Molecular genetic mapping of NIR spectra variation
D. Diepeveena, b, G.P.Y. Clarkea, K. Ryanb, A. Tarra, b, W. Maa, R. Appelsb
a Department of Agriculture and Food, 3 Baron Hay Court, South Perth, WA 6983, Australia
b Centre for Comparative Genomics, Murdoch University, Murdoch, WA, Australia
Journal of Cereal Science, Volume 55, Issue 1, January 2012, Pages 6–14. Abstract

Journal of Dairy Science

Improved accuracy of genomic prediction for dry matter intake of dairy cattle from combined European and Australian data sets
Y. de Haas*, M.P.L. Calus*, R.F. Veerkamp*, E. Wall†, M.P. Coffey†, H.D. Daetwyler‡, B.J. Hayes‡, §, #, J.E. Pryce‡, §
* Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, PO Box 65, NL-8200 AB Lelystad, the Netherlands
† Sustainable Livestock Systems Group, Scottish Agricultural College, Easter Bush, Midlothian, EH25 9RG, United Kingdom
‡ Biosciences Research Division, Department of Primary Industries Victoria, 1 Park Drive, Bundoora, Victoria 3083, Australia
§ Dairy Futures Cooperative Research Centre, Victoria 3083, Australia. # La Trobe University, Bundoora, Victoria 3086, Australia
Journal of Dairy Science, 2012, (full citation to follow). Abstract

Association of total-mixed-ration chemical composition with milk, fat, and protein yield lactation curves at the individual level
M. Caccamo*,  R.F. Veerkamp†, G. Licitra*, ‡, R. Petriglieri*, F. La Terra*, A. Pozzebon*, J.D. Ferguson§
* CoRFiLaC, Regione Siciliana, 97100 Ragusa, Italy
† Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, PO Box 65, 8200 AB Lelystad, the Netherlands
‡ Dipartimento di Scienze delle Produzioni Agrarie e Alimentari (DISPA), Agriculture Faculty, 95123 Catania University, Catania, Italy
§ School of Veterinary Medicine, University of Pennsylvania, Philadelphia 19104
Journal of dairy science 13 August 2012 (Article in Press DOI: 10.3168/jds.2011-4148). Abstract

Comparative evaluation of a new lactation curve model for pasture-based Holstein-Friesian dairy cows
S.A. Adediran*, 1, D.A. Ratkowsky*, D.J. Donaghy†, 2, A.E.O. Malau-Aduli*,
* Animal Science and Genetics, School of Agricultural Science/Tasmanian Institute of Agriculture, University of Tasmania, Private Bag 54 Hobart, TAS 7001, Australia
† Dairy Research Centre, Tasmanian Institute of Agriculture, PO Box 3532 Burnie, TAS 7320, Australia
Journal of Dairy Science, Volume 95, Issue 9, September 2012, Pages 5344–5356. Abstract

Livestock Science

Genetic parameters for gestation length in French horse breeds
Bertrand Langlois, Christine Blouin, INRA-CRJ-BIGE 78352 Jouy-en-Josas Cedex, France
Livestock Science, Volume 146, Issues 2–3, July 2012, Pages 133–139. Abstract

Genetic and phenotypic relationships among reproductive and post-weaning traits from a commercial swine breeding company
C.E. Abell, J.W. Mabry, J.C.M. Dekkers, K.J. Stalder, Iowa State University, Ames, IA 50011, United States
Livestock Science, Volume 145, Issues 1–3, May 2012, Pages 183–188. Abstract

Bayesian and REML analysis of twinning and fertility in Thoroughbred horses
S. Muchaa, A. Wolcab,  T. Szwaczkowskia
aPoznan University of Life Sciences, Department of Genetics and Animal Breeding, Wolynska 33, 60-637 Poznan, Poland
bIowa State University, Department of Animal Science, 239C Kildee Hall, Ames, IA, 50011-3150, USA
Livestock Science, Volume 144, Issues 1–2, March 2012, Pages 82–88. Abstract

Genetic parameters of ultrasound and computer tomography scan traits in Austrian meat sheep
Lina Maximinia, Daniel John Brownb, Roswitha Baumunga, Birgit Fuerst-Waltla
a University of Natural Resources and Life Sciences, Department of Sustainable Agricultural Systems, Division of Livestock Science, Gregor-Mendel-Strasse 33, A-1180 Vienna, Austria
b Animal Genetics and Breeding Unit (AGBU), University of New England, Armidale NSW 2351, Australia
Livestock Science,Volume 146, Issues 2–3, July 2012, Pages 168–174. Abstract

Meat Science

SmartStretch™ Technology: V. The impact of SmartStretch™ technology on beef topsides (m. semimembranosus) meat quality traits under commercial processing conditions
E.S. Tooheya, R. van de Venb, J.M. Thompsonc, G.H. Geesinkc, D.L. Hopkinsc,d
a NSW Department of Primary Industries, PO Box 865 Dubbo, NSW 2830, Australia
b NSW Department of Primary Industries, Orange Agricultural Institute, Forest Road, Orange NSW 2800, Australia
c NSW Department of Primary Industries, Centre for Red Meat and Sheep Development, PO Box 129, Cowra NSW 2794, Australia
d University of New England, Armidale, NSW 2351, Australia
Meat Science, Volume 92, Issue 1, September 2012, Pages 24–29. Abstract