Plant height is an important agronomic trait, which is governed by multiple genes with major or minor effects.  Of numerous QTLs for plant height reported in soybean, most are in large genomic regions, which results in a still unknown molecular mechanism for plant height.  Increasing the density of molecular markers in genetic maps will significantly improve the efficiency and accuracy of QTL mapping.  This study constructed a high-density genetic map using 4 011 recombination bin markers developed from whole genome re-sequencing of 241 recombinant inbred lines (RILs) and their bi-parents, Zhonghuang 13 (ZH) and Zhongpin 03-5373 (ZP).  The total genetic distance of this bin map was 3 139.15 cM, with an average interval of 0.78 cM between adjacent bin markers.  Comparative genomic analysis indicated that this genetic map showed a high collinearity with the soybean reference genome.  Based on this bin map, nine QTLs for plant height were detected across six environments, including three novel loci (qPH-b_11, qPH-b_17 and qPH-b_18).  Of them, two environmentally stable QTLs qPH-b_13 and qPH-b_19-1 played a major role in plant height, which explained 10.56–32.7% of the phenotypic variance.  They were fine-mapped to 440.12 and 237.06 kb region, covering 54 and 28 annotated genes, respectively.  Via the function of homologous genes in Arabidopsis and expression analysis, two genes of them were preferentially predicted as candidate genes for further study.

This paper estimates a stochastic frontier function using a panel data set that includes 4 961 farmer households for the period of 2005-2009 to decompose the growth of grain production and the total factor productivity (TFP) growth at the farmer level. The empirical results show that the major contributor to the grain output growth for farmers is input growth and that its average contribution accounts for 60.92% of farmer’s grain production growth in the period of 2006-2009, whereas the average contributions sourced from TFP growth and residuals are only 17.30 and 21.78%, respectively. The growth of intermediate inputs is a top contributor with an average contribution of 44.46%, followed by the planted area (18.16%), investment in fixed assets (1.05%), and labor input (-2.75%), indicating that the contribution from the farmer’s input growth is mainly due to the growth of intermediate inputs and that the decline in labor inputs has become an obstacle for farmers in seeking grain output growth. Among the elements consisting of TFP growth, the contribution of technical progress is the largest (32.04%), followed by grain subsidies (8.55%), the average monthly temperature (4.26%), the average monthly precipitation (-0.88%), the adjusted scale effect (-5.66%), and growth in technical efficiency (-21.01%). In general, the contribution of climate factors and agricultural policy factor are positive and significant.

Spermatogonial stem cells (SSCs) are the key to maintaining production of the sperms and healthy offsprings, and also treating breeding livestock’s reproductive damage and infertility. MicroRNAs act a decisive role in regulating gene expression in many cells and tissues, including in processes such as proliferation, self-renewal, differentiation, and apoptosis of stem cells. However, the miRNA mechanism in regulation of SSCs is still unclear. Here, high-throughput sequencing was used to identify specific miRNAs. We confirmed that miR-21-5p was concentrated in both goat and mouse SSCs, and enhanced the proliferation and antiapoptotic ability of SSCs. In vivo experiments have shown that miR-21-5p resisted the damage of the chemotherapy drug Busulfan to germ cells, ameliorated Busulfan-induced testicular dysfunction, and maintained spermatogenesis. Further RNA-seq and target gene prediction revealed that SPRY1 and FASLG are targets of miR-21-5p, thereby activating downstream signaling pathways such as MAPK/ERK, PI3K-AKT, and apoptosis. In summary, miR-21-5p is crucial for the self-renewal and maintenance of SSCs. This study provides new avenues for treating breeding livestock’s reproductive damages, infertility, oligospermia, and other conditions.