Golden seed breeding cloud platform for the management of crop breeding material and genealogical tracking

Han, Yanyun; Wang, Kaiyi; Liu, Zhongqiang; Pan, Shouhui; Zhao, Xiangyu; Wang, Shufeng

doi:10.1016/j.compag.2018.07.015

Cited by 12 publications

(10 citation statements)

References 5 publications

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“…The degrees of freedom of P 2 are calculated on the basis of Equation (10). The degrees of freedom for female parent × male parent are calculated on the basis of Equation (11). The sum of squares of the two sets of parents and that of the interaction of the two sets of parents are calculated on the basis of Equations (12)- (14).…”

Section: Combining Ability Analysismentioning

confidence: 99%

“…materials, and these are the bases of crop breeding. Crop breeding material management provides an intelligent retrieval function for the multidimensional data query, helping breeders efficiently select the parents to be used for crossing [11]. The second part is the crop breeding plan design module.…”

Section: Design Of Crop Breeding Trial Managementmentioning

confidence: 99%

“…Crop breeders have hundreds of thousands of breeding materials, such as germplasm resources, inbred lines, hybrid varieties, and intermediate materials, and these are the bases of crop breeding. Crop breeding material management provides an intelligent retrieval function for the multidimensional data query, helping breeders efficiently select the parents to be used for crossing [11].…”

Section: Design Of Crop Breeding Trial Managementmentioning

confidence: 99%

“…China's breeding research institutions and number of seed industry practitioners rank first in the world. However, most seed enterprises and breeding research institutes remain at a low level of informatization; they still use manual measurement, paper records, empirical decision-making, and other working methods, with a serious imbalance in input and output [10,11]. Traditional breeding data management and analysis methods have gradually become one of the primary bottlenecks restricting the development of the seed industry.…”

Section: Introductionmentioning

confidence: 99%

“…Breeders select parent materials annually on the basis of breeding objectives. An intelligent retrieval function is provided in the system to rapidly search for parent breeding materials [11]. The incomplete, complete, and partial diallel crossing methods are built into the system, and these help with the design of a crossbreeding scheme of the combining ability test.…”

Section: Introductionmentioning

confidence: 99%

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Research on Hybrid Crop Breeding Information Management System Based on Combining Ability Analysis

et al. 2020

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Combining ability analysis can be used to preliminarily identify the advantages and disadvantages of combinations and parents in earlier generations, enabling breeders to reduce the range of material, save breeding time, and improve breeding efficiency. An approach for combining ability analysis through the hybrid crop breeding information management system is presented. The general combining ability prediction effect of parents and the specific combining ability prediction effect of combinations are calculated to analyze hybrid combinations using the hybrid crop breeding information management system. The results provide the basis for parent selection and combination selection. The plant breeding trial management function of the system can provide convenient diallel crossing trial design, field planting plan, and combining ability analysis. In the system, the genealogy of breeding materials is traced with the combining ability test crosses. The selection of high-generation breeding materials can be performed in accordance with the combining ability test results of early generation materials. The system has been successfully applied to a large Chinese seed company. The combining ability test function automates data analysis and eliminates days in the decision-making process. The efficiency of the combining ability test analysis and test report generation has improved to more than double by using the system.

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Section: Combining Ability Analysismentioning

confidence: 99%

Section: Design Of Crop Breeding Trial Managementmentioning

confidence: 99%

Section: Design Of Crop Breeding Trial Managementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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