Main Producing Areas Of China Research Articles

Honeybee (Apis mellifera L.) pollination enhances the yield and flavor quality of kiwifruit.

Pollination is essential for achieving high yields and enhancing the quality of kiwifruit cultivation, both of which significantly influence growers' interests and consumers' preferences. However, compared to studies on yield, there are fewer studies exploring the impact of pollination methods on the flavor of kiwifruit Actinidia chinensis Planchon. This study examined the effects of bee (Apis mellifera L.) pollination and artificial pollination on the yield and flavor of kiwifruit in the main producing areas of China. Compared with those pollinated artificially, bee-pollinated kiwifruit exhibited a greater fruit set rate, heavier fruit weight, and greater number of seeds. Notably, the number of seeds was positively correlated with fruit weight in bee-pollinated kiwifruit, whereas no such correlation was detected in artificially pollinated fruit. Bee pollination not only enhanced the yield but also improved the flavor of kiwifruit. Specifically, bee-pollinated kiwifruit contained higher levels of sucrose and lower concentrations of glucose and fructose, while the acid content was less affected by pollination methods. Furthermore, significant differences were observed in the volatile organic compound (VOC) levels in kiwifruit subjected to different pollination treatments, with bee-pollinated fruit exhibiting a superior flavor. Our findings provide new insights into the beneficial role of bee pollination in enhancing kiwifruit yield and quality, underscoring the crucial importance of bees in kiwifruit pollination.

Identifying Spatial Determinants of Rice Yields in Main Producing Areas of China Using Geospatial Machine Learning

Rice yield is essential to global food security under increasingly frequent and severe climate change events. Spatial analysis of rice yields becomes more critical for regional action to ensure yields and reduce climate impacts. However, the understanding of the spatially varied geographical, climate, soil, and environmental factors of rice yields needs to be improved, leading to potentially biased local rice yield prediction and responses to climate change. This study develops a spatial machine learning-based approach that integrates machine learning and spatial stratified heterogeneity models to identify the determinants and spatial interactions of rice yields in the main rice-producing areas of China, the world’s largest rice-producing nation. A series of satellite remote sensing-derived variables are collected to characterize varied geographical, climate, soil, and environmental conditions and explain the spatial disparities of rice yields. The first step is to explore the spatial clustering patterns of the rice yield distributions using spatially global and local autocorrelation models. Next, a Geographically Optimal Zones-based Heterogeneity (GOZH) model, which integrates spatial stratified heterogeneity models and machine learning, is employed to explore the power of determinants (PD) of individual spatial variables in influencing the spatial disparities of rice yields. Third, geographically optimal zones are identified with the machine learning-derived optimal spatial overlay of multiple geographical variables. Finally, the overall PD of various variables affecting rice yield distributions is calculated using the multiple variables-determined geographically optimal zones and the GOZH model. The comparison between the developed spatial machine learning-based approach and previous related models demonstrates that the GOZH model is an effective and robust approach for identifying the spatial determinants and their spatial interactions with rice yields. The identified spatial determinants and their interactions are essential for enhancing regional agricultural management practices and optimizing resource allocation within diverse main rice-producing regions. The comprehensive understanding of the spatial determinants and heterogeneity of rice yields of this study has a broad impact on agricultural strategies and food security.

Geographical origin identification of Hainan camellia oil based on fatty acid composition and near infrared spectroscopy combined with chemometrics

Ensuring the authenticity of the original production region is of utmost importance in safeguarding the reputation and ensuring the quality and safety of Hainan camellia oil, which possesses unique quality and commands a higher price than camellia oil from other main producing areas in China. This study explored the potential of fatty acid composition and near infrared (NIR) spectra for geographical traceability of Hainan camellia oil. The relative content of 16 fatty acids in camellia oil samples was determined using gas chromatography (GC), and the spectral information of the samples was obtained using NIR spectroscopy. The data were then analyzed using chemometrics methods, comparing the classification abilities of partial least squares discriminant analysis (PLS-DA), random forest (RF), support vector machine (SVM), and convolutional neural network (CNN) algorithms. The results demonstrated that the SVM model based on the fatty acid composition, the CNN model based on the NIR spectra, and the CNN model based on data fusion achieved prediction accuracies of 97.08%, 97.92%, and 98.75%, respectively, enabling high-precision identification of the geographical origin of Hainan camellia oil. This study reveals that the fatty acid composition and NIR spectra can serve as accurate tools for identifying the geographical origin of camellia oil.

How to Break the Bottleneck of Potato Production Sustainable Growth—A Survey from Potato Main Producing Areas in China

China is the world’s largest potato producer, and the potato’s role in ensuring food security and rural development is irreplaceable. Therefore, how to achieve sustainable growth in potato production has attracted widespread attention from academia. However, few existing studies have analyzed how to achieve sustainable growth in main potato-producing areas based on farmers’ micro perspectives in terms of both technical efficiency and output elasticity of input factor. This paper investigates the output elasticities of input factors, technical efficiency, and its influencing factors among 398 potato farmers from China’s main potato-producing regions in 2021 to fill this knowledge gap. The stochastic frontier production is applied to calculate the technical efficiency and elasticities of input factors in main potato-producing areas. The Tobit model is utilized to analyze influencing factors of technical efficiency. Our findings indicate that the technical efficiency of the main potato production regions is 0.67, with an efficiency loss of 0.33. And, the output elasticity of land input and labor input is negative, and the output elasticity of capital input is positive. Moreover, the factors that affect the technical efficiency in main potato-producing areas include age, whether to be a village leader, income from other crops, labor input, potato price, and disaster impact. Our findings suggest that the agricultural authorities should strengthen the cultivation of potato producers, control the scale of potato production, and optimize the allocation of input factors.

Effects of Reactive Oxygen Levels on Chilling Injury and Storability in 21 Apricot Varieties from Different Production Areas in China.

The key factors for resistance to chilling injury in apricot fruits were obtained by analyzing the low-temperature storage characteristics of 21 varieties of apricot fruits in the main producing areas of China. Twenty-one varieties of apricots from different production areas in China were stored at 0 °C for 50 d and then shelved at 25 °C. The storage quality, chilling injury, reactive oxygen species (ROS), antioxidant ability, and contents of bioactive substances of the apricots were measured and analyzed. The results showed that the 21 varieties of apricot fruits could be divided into two categories according to tolerance during low-temperature storage, where there was chilling tolerance and lack of chilling tolerance. Eleven varieties of apricots, of which Xiangbai and Yunbai are representative, suffered from severe chilling injury after cold storage and shelf life. After 50 d of storage at 0 °C, the levels of superoxide anions and hydrogen peroxide accumulated in the 11 varieties of apricots with a lack of chilling tolerance during storage were significantly higher than those in the remaining 10 varieties of apricots with chilling tolerance. In addition, the activities of ROS scavenging enzymes, represented by superoxide dismutase, catalase and peroxidase, were significantly decreased in 11 varieties of apricots with a lack of chilling tolerance during storage. The contents of bioactive substances with ROS scavenging ability, represented by ascorbic acid, total phenols, carotenoids, and total flavonoids, also significantly decreased. The 10 varieties of apricots, of which Akeximixi and Suanmao are representative, were less affected by chilling injury because the production and removal of ROS were maintained at normal levels, avoiding the damaging effects of ROS accumulation in the fruit. In addition, the 10 apricot varieties with chilling tolerance during storage had higher sugar and acid contents after harvest. This could supply energy for physiological metabolism during cold storage and provide carbon skeletons for secondary metabolism, thus enhancing the chilling tolerance of the fruits. Based on the results of cluster analysis combined with the geographical distribution of the 21 fruit varieties, it was found that apricot varieties with chilling tolerance during storage were all from the northwestern region of China where diurnal temperature differences and rapid climate changes occur. In conclusion, maintaining the balance of ROS production and removal in apricots during cold storage is a key factor to enhance the storage tolerance of apricots. Moreover, apricots with higher initial glycolic acid and bioactive substance contents are less susceptible to chilling injury.

Can the Application of Environmentally Friendly Fertilisers Reduce Agricultural Labour Input? Empirical Evidence from Peanut Farmers in China

Environmentally friendly fertilisers (EFFs) can improve the quality of cultivated land, purify the soil environment, and promote reduction in the amounts of fertiliser applied by improving efficiency. However, few studies have analysed the spillover effects of EFF applications on agricultural labour inputs. Hence, this study discusses the impact of EFFs on agricultural labour input, using the propensity score matching method based on the micro-survey data of peanut growers in the main producing areas in China. The results showed that EFFs have a labour-saving advantage, with a significant average reduction in the number of labourers’ input and labour days in agriculture production of 0.127 persons/mu and 0.601 days/mu at the 1% to 10% significance level. Additionally, EFFs improve yield and revenue but significantly raise production costs, ultimately increasing net revenue for farmers. The mechanism of the labour-saving effect is the capability of EFFs to reduce the amount and frequency of fertilisers applications, the amounts of pesticides applied, and irrigation water consumption by their technical characteristics and farmland’s ecological environment enhancement. Accordingly, the time effect strengthens the ecological regulation function and the application reduction effect of EFFs, further decreasing agricultural labour inputs. At the same time, the application of EFFs contributes to the adoption of mechanical deep tillage and fertilisation technology (MDTFT), thereby reducing fertiliser application and ultimately improving the labour-saving effect of EFFs. Heterogeneity analysis revealed that the labour-saving effect of EFFs is more obvious for farmers operating with a larger planting scale. To improve the labour-saving effect of EFFs, the findings imply that the application years of EFFs should be appropriately extended and the MDTFT should be promoted according to local conditions.

Analysis of genetic diversity among Chinese Cyclocybe chaxingu strains using ISSR and SRAP markers.

BackgroundCyclocybe chaxingu is an edible and medicinal fungal species commonly cultivated in China. The major problems currently facing by growers of C. chaxingu is the random labeling of strains and strains aging and degeneration. Therefore, an evaluation of genetic diversity is essential for the conservation and reproducing programs of this species.MethodsIn the present study, 24 widely cultivated strains were collected from the main producing areas of China, and the genetic diversity analysis was performed. DNA polymorphism among these Chinese C. chaxingu strains was analyzed using inter-simple sequence repeat (ISSR) and sequence-related amplified polymorphism (SRAP) markers.ResultsEight ISSR primers amplified a total of 75 DNA fragments of which 61 (81.33%) were polymorphic. Fifteen SRAP primer combinations amplified 166 fragments of which 132 (79.52%) were polymorphic. Cluster analysis showed that the C. chaxnigu strains fall into five groups with a genetic distance values ranging from 0.06 to 0.60 by ISSR analysis, while the SRAP analysis divided the test strains into four groups within the range of genetic distance from 0.03 to 0.57. The results of the present study reveal a high level of genetic diversity among the widely cultivated C. chaxingu strains.

Specification and grade of Saposhnikoviae Radix (Saposhnikovia divaricata)

ObjectiveSaposhnikoviae Radix (Fangfeng in Chinese), the roots of Saposhnikovia divaricata, lacks commodity specification and grade standardization in the current market. This study investigated the existing specifications and grades of Saposhnikoviae Radix to provide a standardized scientific reference for its market use. MethodsBased on a textual research of Chinese herbal medicine from the Han Dynasty to the present, medicinal materials of different specifications and grades obtained from Saposhnikoviae Radix in the main producing areas of China were collected and the markets for these materials were investigated. Field investigations were performed in the major producing areas such as Northeast China, Hebei Province, and Inner Mongolia. Four major Chinese herbal medicine markets in China were investigated. Sensory indices were used to categorize the two specifications (wild and cultivated) according to the shape, color, texture, and cross-section. High-performance liquid chromatography was performed to determine the active components. Vernier calipers and measuring tape were used to measure the diameter and length, respectively, of 41 samples. Using Excel and the R Language software, cluster analysis and descriptive statistical analysis were performed to assist in the application of new specifications and grades based on physical characteristics, pharmacological activity, and chemical composition. ResultsThe two specifications (wild and cultivated) of Saposhnikoviae Radix were divided into three grades each based on the length and diameter. Prim-O-glucosylcimifugin, 5-O-methylvisamminoside, and the length of Saposhnikoviae Radix can be used as a basis for classifying the commodity specifications and grades. The specifications and grade standards of Saposhnikoviae Radix were established based on the following eight aspects: shape, surface characteristics, texture, cross section, taste, prim-O-glucosylcimifugin content, 5-O-methylvisamminoside content and length. ConclusionThe formulation of this standard stipulates the commodity specification level of Saposhnikoviae Radix. It is also suitable for the evaluation of commodity specifications in the process of production, circulation and use of Saposhnikoviae Radix.

Study on spatio‐temporal variation mechanism of phytic acid contents of wheat grains

SummaryThis study aimed to understand the spatio‐temporal variation mechanism of phytic acid in wheat. Firstly, phytic acid contents of wheat from the main producing areas in China were investigated. Then in combination with statistical methods, the effects of the geographical origin, variety, harvest year, their interactions as well as different irrigation frequency on phytic acid contents of wheat were comprehensively analysed based on field experiments. Furthermore, the structure of phytic acid in wheat was analysed by Fourier transform infrared spectroscopy. The phytic acid contents of wheat in China ranged from 6.262 to 9.872 g kg−1. All the factors had significant effects on phytic acid contents of wheat. The characteristic spectra related to phytic acid in wheat included 3348, 1156, 1081, 1019, 927 and 861 cm−1. The variety had the greatest impact on phytic acid contents of wheat. This study could provide reference for breeding wheat with low phytic acid contents.

Genetic diversity and main functional composition of Lingzhi strains from main producing areas in China

In this study, we used genotyping by sequencing (GBS) to examine the genetic diversity of 22 strains of Lingzhi and the quality differences in 15 fruit bodies of Lingzhi from different Chinese regions. The phylogenetic trees of 22 strains were constructed based on ITS (Internal transcribed spacer) and SNP (single nucleotide polymorphism). Moisture, ash, water-soluble extracts, alcohol-soluble extracts, polysaccharides, and triterpenoids from 15 fruit bodies of Lingzhi were detected and analyzed based on Chinese Pharmacopoeia and the US Pharmacopoeia references. Moreover, the monosaccharide composition of polysaccharides was studied using PMP-HPLC, and the effect of polysaccharides on the proliferation rate of splenocytes was investigated in vitro. The identification results of these strains by the phylogenetic trees which were constructed based on ITS sequences and SNPs showed that most of the strains applied in the main producing areas of Lingzhi in China were accurate except for a few inaccurate strains. The moisture, ash, water and alcohol soluble extractive, polysaccharide and triterpenoid content of all samples were meet the requirements of the Chinese Pharmacopoeia, while the polysaccharide and triterpenoid content of less than half of the samples meet the requirements of the U.S. Pharmacopoeia. The polysaccharide extracted from these samples have different effects on the proliferation rate of spleen cells. To sum up, this is the first study that reported on the differences in Lingzhi strains from the main producing areas in China. The quality of some fruit bodies did not meet the pharmacopeia requirements, and wrong strains were used in some production areas; thus, strains should be given special attention before legal processing.

Characteristics of water requirement of table grape in the growing season

To quantitatively assess the satisfaction degree of precipitation on water requirement of table grape in the main producing areas in China, we analyzed the temporal and spatial variations of precipitation, water requirement and water deficit in different growth stages of table grape based on the 1981-2016 daily meteorological data from 429 meteorological stations in the study region (Jinlin and Liaoning of Northeast China; Shanxi and Hebei of North China; Xinjiang, Gansu, Ningxia and Shaanxi of Northwest China; Sichuan, Guizhou and Yunnan of Southwest China; Jiangsu, Shandong, Zhejiang, Anhui, Fujian, Henan, Hubei, Hunan and Guangxi of Southeast China). Results showed that precipitation in each growth stage showed an increasing trend from north to south and from west to east in the study period. The precipitation in germination-flowering stage was the lowest and showed a decreasing trend. The precipitation in maturation-defoliation stage showed a decreasing trend, while that in flowering-veraison and veraison-maturation stage exhibited an increasing trend. Water requirement of grape exhibited an increasing trend in each growth stage in the study region. Water requirement of grape in Xinjiang and the northern of Gansu Province was the highest. The precipitation could not meet water requirement of grape in Xinjiang, northern Gansu, Ningxia, northern Shaanxi, northern Shanxi, northern Hebei, western Liaoning and western Jilin in each growth stage, as well as northern Yunnan and southern Sichuan during germination-flowering stage. In constrast, water surplus was obvious in the other areas, especially in the southeast and southwest of China. The water deficit of grape showed an increasing trend during the germination-flowering and maturation-defoliation stage, while that during flowering-veraison and veraison-maturation stage showed a decreasing trend.

Investigation, analysis and identification of disease of Gastrodia elata f. glauca

Fungal disease is an important factor restricting the healthy development of Gastrodia elata industry. The control of fungal disease in G. elata is an important issue in production. This paper makes a detailed investigation on the current situation of G. elata disease in China through statistics on the failure rate, rotten pit rate and occurrence rate of G. elata disease in the main producing areas of China. It was found that G. elata disease was mainly infected from the top bud and junction, causing the occurrence rate of disease was 6%-17%, and the yield decreased by 10%-30%. The 23 dominant fungi were isolated from 18 typical G. elata disease samples. Through identification of colony morphology, mycelium morphology, spore morphology and genetic characteristics, they were finally identified as 13 species, belonging to 7 families and 7 genera. Trichoderma harzianum, Ilyonectria sp. and Ilyonectria destructans are the most frequently separated. Their isolation frequency were 22.22%,16.67%,16.67% respectively. Ilyonectria sp. and I. destructans were the first time isolated from G. elata disease samples. They may be the main pathogens causing soil-borne diseases of G. elata. T. harzianum has certain potential as Gastrodia biocontrol bacteria. This study can provide a theoretical basis for the research and development of control technology of Gastrodia fungi disease.

Evaluating multiple resistance to major diseases in a core set of inbred lines of Brassica rapa at seedling stage

Years of continuous cropping of Brassica rapa crops in main producing areas in China lead to the outbreak of some diseases, such as downy mildew (DM), turnip mosaic virus (TuMV), black rot (BR), verticillium wilt (VW), and club root (CR), causing severe loss in yield and quality. Resistance to the aforementioned diseases of 302 inbred lines of Brassica rapa to DM, TuMV, BR, VW, and CR were evaluated under controlled conditions at seedling stage. Forty lines were identified to be highly resistant to DM, 13 to TuMV, 0 to BR, 30 to VW, and 24 to CR. Among the 302 lines, 121 exhibited high resistance to two diseases, 70 to three diseases, and eight to four diseases, but none of these lines showed comprehensive resistance to all the five diseases. Chinese cabbage lines XDYFX, 536S, 536Q, DY×T, and CR-C, and Pak choi lines DFAK×SH, NB, and SYHTC showed high resistance to four diseases and therefore represent elite materials in multiple-disease resistance breeding. In addition, different disease resistance tendencies were discovered in diverse Chinese cabbage groups which were classified in different ways, such as the ecotype, heading-type, and geographical origin.

Phylogenetic analysis of three orf virus strains isolated from different districts in Shandong Province, East China.

Orf virus (ORFV) is the causative agent of contagious ecthyma, which is a zoonotic disease that affects sheep, goats, wild small ruminants and humans. Shandong Province in East China is one of the main producing areas in China for sheep and goats. Here, we conducted epidemiological surveys in different areas in this Province, isolated three orf virus strains, SDLC, SDTA and SDJN, from goat flocks and then analyzed the genetic evolution of these strains. The ORFV011, ORFV059, ORFV109, ORFV110 and ORFV127 genes of these three strains were amplified, sequenced and analyzed. Phylogenetic analysis showed that ORFV011 of the SDLC and SDTA strains cluster together with the Gansu, Liaoning, Shanxi, Nantou, Hoping and FJ-YX strains, while SDJN clusters with the FJ-GS and FJ-GO strains. ORFV059 of the SDLC and SDTA strains cluster together with the FJ-YX strain, while SDJN clusters with the FJ-GS and FJ-GO strains. ORFV059 and ORFV127 of these three strains were similar to those of the OV-SA00 strain. The results suggested that SDLC, SDTA and SDJN originated from Fujian Province and formed a complex group of viruses in Shandong Province. As the role of ORFV127 gene responsible for the immune evasion of ORFV, the pathogenesis of these three virus strains may similar to that of OV-SA00. These three strains first isolated in Shandong Province are novel ORFV strains, and the data reported here will be helpful for further research about ORFV and its comprehensive prevention and control.

Genetic diversity of germplasm resources of Lonicera japonica by AFLP analysis

This study aimed to analyze the genetic diversity and genetic relationship of germplasm resources of Lonicera japonica in main producing areas of China and provide reference for developing new varieties of L. japonica. Using 6 primer combinations, 13 germplasm of L. japonica were analyzed by AFLP marker. The genetic distance was worked out by using DPS V3.01 software, and the cluster was conducted based on UPGMA. A total of 435 bands were obtained including 191 polymorphic ones. The average polymorphic frequency was 43.9%. Cluster analysis showed that the relationship of cultivated variety from the same genuine area was near, and the classification result based on AFLP marker of germplasm of L. japonica from Shandong province was basically consistent with those on their morphological character. AFLP marker can indicate the abundant genetic diversity of L. japonica and provide theoretical evidence for reasonable utilization and breeding new cultivar of L. japonica in molecular level.

Quantitive Variation of Flavonoids in Houttuynia cordata from Different Geographic Origins in China

Aim To reveal the content variation of flavonoids in Houttuynia cordata from main producing areas in China, and to lay a foundation for the breeding of quality of Houttuynia cordata. Methods Several flavonoids including hyperin, quercitrin, and quercetin in H. cordata from 22 different provenances or geographic origins in China were purified and measured by using high-performance liquid chromatography (HPLC). The relationship between the content of flavonoids in H. cordata and their biological characteristics such as morphological and growth traits or a geographic origin were analyzed. Results and Conclusion The levels of three major flavonoids: hyperin, quercitrin, and quercetin, varied remarkably in the plants of H. cordata from different provenances, and variation in quercitrin was significantly correlated to the biological characteristics of the plant but not correlated to the geographic region where the plant grows. Our data thus provides an important means for the selection or evaluation of candidate cultivars of H. cordata from a pharmacological perspective.

Analysis of F, Al, Mn, Zn, Fe, Cu, Ca and Mg concentrations in brick teas from main producing areas in China

Analysis of F, Al, Mn, Zn, Fe, Cu, Ca and Mg concentrations in brick teas from main producing areas in China