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1.
Asian-Australas J Anim Sci ; 29(6): 830-7, 2016 Jun.
Article in English | MEDLINE | ID: mdl-26954165

ABSTRACT

The purpose of this study was to investigate the effect of monochromic light-emitting diode (LED) light with different color on the growth and reproductive performances of white Roman breeder geese. A randomized complete batch design was utilized for the trial, and the replicate was regarded as one batch. Twenty ganders and fifty-five dames were used in batch 1 (started on 2011/6/17 and ended on 2012/1/31), thirty ganders and eighty-four dames were used in batch 2 (started on 2012/3/23 and ended on 2012/10/26), and thirty ganders and seventy-two dames were used in batch 3 (started on 2013/3/12 and ended on 2013/12/20). Two hundred and ninety-one geese were randomly assigned to 6 rooms in an environmentally controlled house. They were randomly allotted into one of three monochromatic light treatments: Blue, red, or white. The results showed that there was no significant difference in body weight among the three lighting groups at any point throughout the experimental period. However, compared to the blue light group, significantly more eggs were produced by the red and white light groups (p<0.05). Furthermore, the laying period of the red light group was significantly longer than that of other two groups (p<0.05). In conclusion, our results suggested that red LED-light has the best effect on reproductive performance (i.e. longer laying period and higher total eggs number) at 30 lux light intensity, and is therefore a better choice for the management of breeding geese than blue or white LED-light.

2.
Br Poult Sci ; 56(6): 716-22, 2015.
Article in English | MEDLINE | ID: mdl-26445200

ABSTRACT

This study evaluated the growth performance and meat characteristics of grower geese whose diets included garlic scape meal (GSM), a by-product of garlic production. Scape is the leaf-less flower stem of garlic. Garlic scape (GS) extracts contained 84.7 ± 3.8 µg/g dry weight (DW), 81.4 ± 8.2 µg/g DW, 0.78 ± 0.05 mg gallic acid equivalent/g DW and 31.67 ± 2.25 µg/g DW of allicin, alliin, total phenolics and flavonoid contents, respectively. In total, 120 White Roman geese aged 5 weeks were randomly distributed among 12 pens and fed on a grower diet ad libitum during the growth period. Employing a completely random design, 5 males and 5 females were placed in each pen. Each treatment was applied to three pens (in total 30 birds) and the treatments comprised the following: 1) control (maize-soybean meal), 2) 5% of maize replaced with 5% of GSM (5% GSM), 3) 10% of maize replaced with 10% of GSM (10% GSM) and 4) 15% of maize replaced with 15% of GSM (15% GSM). Each group of 30 birds was treated for 8 weeks. The results revealed that the 15% GSM group was characterised by a lower feed conversion ratio than the control group; however, these groups did not differ significantly in their body weights (BWs). In addition, the 10% GSM group did not differ in both the feed conversion ratio and consumption. The flavour intensity score of meats in the 10% GSM group was significantly lower than those of meats in the 5% GSM and control groups. The general acceptability scores of meats in the 5% GSM and control groups were higher than those of meat in the 10% GSM group. The study concluded that 5% dietary GSM in the feed did not adversely affect the growth performance, meat characteristics or sensory evaluation of grower geese. Hence, the environment can be protected by including agricultural waste in goose diets.


Subject(s)
Diet/veterinary , Garlic/metabolism , Geese/physiology , Meat/analysis , Plant Extracts/metabolism , Animal Feed/analysis , Animals , Female , Garlic/chemistry , Geese/growth & development , Male , Meat/standards , Plant Extracts/administration & dosage , Plant Stems/chemistry
3.
Br Poult Sci ; 52(1): 48-51, 2011 Feb.
Article in English | MEDLINE | ID: mdl-21337197

ABSTRACT

1. Evidence has accumulated in mammals to support the idea that mitochondrial DNA (mtDNA) deletions and mutations might contribute to ageing and reproductive failure. White Roman geese were monitored to evaluate the effect of large-scale deletions of mtDNA in an avian species. 2. A total of 340 samples from 114 dead embryos, 111 weak goslings, and 115 normal goslings were used in this experiment. The regions of these two large-scale mtDNA deletions, ΔmtDNA6829 and ΔmtDNA6992, were between the COI and ND5 genes. A 3·6% (4 out of 111) positive sample was detected in the weak goslings. In contrast, no large-scale mitochondrial DNA deletions were detected in either the dead embryos (0 out of 114) or the normal goslings (0 out of 115). 3. Large-scale mtDNA deletions may be a factor causing weak goslings.


Subject(s)
DNA, Mitochondrial/chemistry , Geese/genetics , Sequence Deletion , Aging/genetics , Animals , Base Sequence , Embryo, Nonmammalian/physiology , Geese/embryology , Geese/physiology , Muscle Weakness/genetics , Reproduction/genetics
4.
Biochem Genet ; 48(11-12): 938-43, 2010 Dec.
Article in English | MEDLINE | ID: mdl-20820906

ABSTRACT

In order to avoid interference from nuclear copies of mitochondrial DNA (numts), mtDNA of the white Roman goose (domestic goose) was extracted from liver mitochondria. The mtDNA control region was amplified using a long PCR strategy and then sequenced. Neighbor-joining, maximum parsimony, and maximum-likelihood approaches were implemented using the 1,177 bp mtDNA control region sequences to compute the phylogenetic relationships of the domestic goose with other geese. The resulting identity values for the white Roman geese were 99.1% (1,166/1,177) with western graylag geese and 98.8% (1,163/1,177) with eastern graylag geese. In molecular phylogenetic trees, the white Roman goose was grouped in the graylag lineage, indicating that the white Roman goose came from the graylag goose (Anser anser). Thus, the scientific name of the white Roman goose should be Anser anser 'White Roman.'


Subject(s)
DNA, Mitochondrial/genetics , Geese/genetics , Phylogeny , Animals , Base Sequence , China , DNA, Mitochondrial/isolation & purification , Models, Statistical , Molecular Sequence Data , Phylogeography , Sequence Analysis
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