With the implementation of the C-strain vaccine, classical swine fever (CSF) has been under control in China, which is currently in a chronic atypical epidemic situation.  African swine fever (ASF) emerged in China in 2018 and spread quickly across the country. It is presently occurring sporadically due to the lack of commercial vaccines and farmers’ increased awareness of biosafety.  Atypical porcine pestivirus (APPV) was first detected in Guangdong Province, China, in 2016, which mainly harms piglets and has a local epidemic situation in southern China.  These three diseases have similar clinical symptoms in pig herds, which cause considerable losses to the pig industry.  They are difficult to be distinguished only by clinical diagnosis.  Therefore, developing an early and accurate simultaneous detection and differential diagnosis of the diseases induced by these viruses is essential.  In this study, three pairs of specific primers and Taq-man probes were designed from highly conserved genomic regions of CSFV (5´ UTR), African swine fever virus (ASFV) (B646L), and APPV (5´ UTR), followed by the optimization of reaction conditions to establish a multiplex real-time PCR detection assay.  The results showed that the method did not cross-react with other swine pathogens (porcine circovirus type 2 (PCV2), porcine reproductive and respiratory syndrome virus (PRRSV), foot-and-mouth disease virus (FMDV), pseudorabies virus (PRV), porcine parvovirus (PPV), and bovine viral diarrhea virus BVDV).  The sensitivity results showed that CSFV, ASFV, and APPV could be detected as low as 1 copy mL^–1; the repeatability results showed that the intra-assay and inter-assay coefficient of variation of ASFV, CSFV, and APPV was less than 1%.  Twenty-two virus samples were detected by the multiplex real-time PCR, compared with national standard diagnostic and patented method assay for CSF (GB/T 27540–2011), ASF (GB/T 18648–2020), and APPV (CN108611442A), respectively.  The sensitivity of this triple real-time PCR for CSFV, ASFV, and APPV was almost the same, and the  compliance results were the same (100%).  A total of 451 clinical samples were detected, and the results showed that the positive rates of CSFV, ASFV, and APPV were 0.22% (1/451), 1.3% (6/451), and 0% (0/451), respectively.  This assay provides a valuale tool for rapid detection and accurate diagnosis of CSFV, ASFV, and APPV.

ABA receptors (PYR/PYL/RCAR) play a central role in the water loss control of plants.  A previous report indicated that TaPYL4 is a critical gene in wheat that improves grain production under drought conditions and increases water use efficiency.  In this study, we analyzed the sequence polymorphisms and genetic effects of TaPYL4s.  Based on isolated TaPYL4 genes from chromosomes 2A, 2B and 2D, three haplotypes were detected in the promoter region of TaPYL4-2A, and two haplotypes were present in TaPYL4-2B and TaPYL4-2D, respectively.  Marker/trait association analysis indicated that TaPYL4-2A was significantly associated with plant height in 262 Chinese wheat core collection accessions, as well as the drought tolerance coefficient (DTC) for plant height in 239 wheat varieties from Shanxi Province in multiple environments.  However, the frequencies of favored drought-tolerant haplotype TaPYL4-2A-Hap2 were considerably low, accounting for only 10%, and lines with this certain Hap could be reserved in the breeding program.  TaPYL4-2B was significantly associated with grain number, and the favored haplotype TaPYL4-2B-Hap1 was the dominant allele of above 90% in the collection.  For TaPYL4-2D, there were no significant differences in these traits between the two haplotypes in either of the two panels.  These results indicate that variation might lead to functional differentiation among the homoeologs and the haplotypes had undergone artificial selection during breeding.  Two molecular markers developed to distinguish these haplotypes could be used for breeding in water-limited regions.

China has the world’s largest sheep flock and the largest producer of sheep meat by far.  However, the nutrient requirements have not been systemically studied and there is a lack of knowledge of nutrient requirement for meat-type sheep in China.  Since 2008, the nutrient requirements of meat-type sheep in China has been systematically investigated.  In this review, we introduced the history of studies of nutrient requirements of meat-type sheep in China, summarized the recent advances in nutrient requirements of meat-type sheep, and highlighted the future directions of researches on nutrient requirements of meat-type sheep in China.

Leaf chlorophyll content (LCC) is an important physiological indicator of the actual health status of individual plants. An accurate estimation of LCC can therefore provide valuable information for precision field management. Red-edge information from hyperspectral data has been widely used to estimate crop LCC. However, after the advent of red-edge bands in satellite imagery, no systematic evaluation of the performance of satellite data has been conducted. Toward this end, we analyze herein the performance of winter wheat LCC retrieval of currant and forthcoming satellites (RapidEye, Sentinel-2 and EnMAP) and their new red-edge bands by using partial least squares regression (PLSR) and a vegetation-indexbased approach. These satellite spectral data were obtained by resampling ground-measured hyperspectral data under various field conditions and according to specific spectral response functions and spectral resolution. The results showed: 1) This study confirmed that RapidEye, Sentinel-2 and EnMAP data are suitable for winter wheat LCC retrieval. For the PLSR approach, Sentinel-2 data provided more accurate estimates of LCC (R²=0.755, 0.844, 0.805 for 2002, 2010, and 2002+2010) than do RapidEye data (R²=0.689, 0.710, 0.707 for 2002, 2010, and 2002+2010) and EnMAP data (R²=0.735, 0.867, 0.771 for 2002, 2010, and 2002+2010). For index-based approaches, the MERIS terrestrial chlorophyll index, which is a vegetation index with two red-edge bands, was the most sensitive and robust index for LCC for both the Sentinel-2 and EnMAP data (R²≥0.628), and the indices (NDRE1, SRRE1 and CIRE1) with a single red-edge band were the most sensitive and robust indices for the RapidEye data (R²≥0.420); 2) According to the analysis of the effect of the wavelength and number of used red-edge spectral bands on LCC retrieval, the short-wavelength red-edge bands (from 699 to 734 nm) provided more accurate predictions when using the PLSR approach, whereas the long-wavelength red-edge bands (740 to 783 nm) gave more accurate predictions when using the vegetation indice (VI) approach. In addition, the prediction accuracy of RapidEye, Sentinel-2 and EnMAP data was improved gradually because of more number of red-edge bands and higher spectral resolution; VI regression models that contain a single or multiple red-edge bands provided more accurate predictions of LCC than those without red-edge bands, but for normalized difference vegetation index (NDVI)-, simple ratio (SR)- and chlorophyll index (CI)-like index, two red-edge bands index didn’t significantly improve the predictive accuracy of LCC than those indices with a single red-edge band. Although satellite data with higher spectral resolution and a greater number of red-edge bands marginally improve the accuracy of estimates of crop LCC, the level of this improvement remains insufficient because of higher spectral resolution, which results in a worse signal-to-noise ratio. The results of this study are helpful to accurately monitor LCC of winter wheat in large-area and provide some valuable advice for design of red-edge spectral bands of satellite sensor in future.

In this study we report the results of a decade-long breeding program for japonica super rice made by Nanjing Branch of Chinese National Center for Rice Improvement in Jiangsu Academy of Agricultural Sciences.  We concluded that selection of parents with good comprehensive traits and complementary advantages and disadvantages of both parents in the hybrid combination, and early selection of high heritability traits in earlier segregating generations could significantly improve the breeding efficiency.  The use of closely-linked functional markers in pyramiding of multiple genes could greatly increase breeding efficiency, avoiding time-consuming and laborious steps that were used in traditional breeding program.  It is also important to coordinate the yield components with variety characteristics such as yield stability, wide adaptability, lodging resistance, and an attractive grain appearance during late growth stage of rice.

This study provides empirical evidence on the link between economic growth and nutrition transition in two emerging economies, China and Russia. Both countries have experienced rising average incomes, accompanied by an increasing rate of nutrition-related chronic diseases in recent years. Given the regional heterogeneity between these two countries, we analyze the extent to which income growth as a major driver of nutrition transition has a significant effect on the consumption of different food aggregates and how these effects differ between Chinese and Russian consumers. Our results indicate that with increasing household incomes over time the demand for carbohydrates decreases, while the demand for meat and dairy products, as well as fruits increases. This is a development generally known as nutrition transition. Further, we estimate a Quadratic Almost Ideal Demand System (QUAIDS) for nine different food aggregates for China and Russia. Our results indicate that in both countries all food aggregates have positive expenditure elasticities and are thus normal goods. Moreover, our results indicate that in 2008/2009 meat is still a luxury good in China yet a necessity good in Russia. For 2009, the highest own-price elasticities in China are found for non-meat protein sources and dairy products. Within the meat group, beef, poultry and mutton have the highest price elasticities in China. In Russia, the milk and dairy group, together with the vegetable group, is the most price-elastic food group in 2008. In line with the definition of a nutrition transition, our overall results underscore the finding that income growth in China and Russia tends to increase the demand for animal-based products much stronger than, for example, the demand for carbohydrates. Despite being a positive signal for problems of malnutrition in rural China, this trend of increasing meat consumption might further increase the incidence of chronic diseases in urban areas since there is convincing scientific evidence that increasing meat consumption, especially red and processed meat, is associated with an increased risk of chronic diseases.

Endothelial PAS domain protein 1 (EPAS1), also called hypoxia-inducible factor-2, is a key regulatory factor of hypoxic responses and plays an essential role in high-altitude adaptation in mammalian species. In this study, polymorphisms of EPAS1 were detected in 217 individuals from 2 Tibetan pig populations and 3 low-altitude pig breeds by DNA pooling, PCR-SSCP, PCR-RFLP and DNA sequencing methods. A total of 14 synonymous polymorphisms were identified in the coding region. The analysis suggested that SNP1 (G963A), SNP7 (C1632T), SNP10 (G1929A) and SNP11 (G1947A) showed potential association with high-altitude environment because of their particular variation patterns in Tibetan pigs. Linkage disequilibrium (LD) of these SNPs was analyzed. One common LD block including 5 SNPs clustering in exon 12 was identified in all studied pig populations. Haplotype H1 (AGGTC) in LD block was dominant in Tibetan pigs (76.6 and 74.2% in Linzhi (LZ) and Chayu (CY) pigs, respectively) and segregated at higher frequency than that in low-altitude pig breeds (52.3, 58.7 and 56.2% in Wuzhishan (WZS), Min (M) and Laiwu (LW) pigs, respectively), indicating that H1 may relate to adaptation to high altitude in Tibetan pigs. These findings raise hope that EPAS1 gene can be a candidate gene that involved in adaptation of high altitude in Tibetan pigs.

Classical swine fever caused by Classical swine fever virus (CSFV) is a serious problem for swine industries in developing countries, which successful control of the disease have been relying on vaccination. However, classical swine fever still occurs in some immunized swine herds for various reasons. In this study, we conducted animal experiments to examine the influence of single or mixed infection with Porcine parvo virus (PPV), Pseudorabies virus (PRV) and Porcine reproductive and respiratory syndrome virus (PRRSV) on the protective immunity induced by the Lapinized hog cholera virus (HCLV) vaccine and the pathogenicity of CSFV. In experiment 1, pigs were first inoculated with PPV, PRV or PRRSV, then immunized with HCLV, and finally challenged with a highly virulent CSFV Shimen strain. All of the pigs immunized with HCLV survived after the challenge, while all of the pigs in the non-immunized control group died after the challenge. The pigs in the group immunized with HCLV did not show any clinical symptoms of classical swine fever and were negative with CSFV after the challenge. The pigs infected with the non-CSFV before HCLV immunization did not display any clinical symptoms after the challenge with CSFV Shiman strain, but 11 of the 12 pigs were positive with CSFV. In experiment 2, pre-infections with PPV, PRV, and PRRSV were followed by inoculation with a low-virulence CSFV strain (CSFV 39), and then the pigs were challenged with the CSFV Shimen strain. Infections by either PPV, PRV or PRRSV did not enhance the virulence of CSFV-39, but pigs infected by a mixture of the 3 viruses developed clinical symptoms after inoculation with CSFV-39. The mixed infection also increased mortality caused by the challenge with the CSFV Shimen strain. Together, these results showed PPV, PRV and PRRSV infections in pigs can reduce the efficacy of the HCLV vaccine and enhance the pathogenicity of CSFV, which may partly explain the immunization failure against CSFV in some swine herds.