Stigma color plays an important role in pollination.In nature,melon(Cucumis melo L.)stigmas are either yellow or green;however,a review of the literature found no report on how stigma color affects pollination and fru...Stigma color plays an important role in pollination.In nature,melon(Cucumis melo L.)stigmas are either yellow or green;however,a review of the literature found no report on how stigma color affects pollination and fruit development in melon.Here,we used an F_(2)melon population derived from a cross between‘MR-1’(P_(1),with green stigmas)and‘M1–32’(P_(2),with yellow stigmas),and performed genetic analysis and mapping.The results of bulked segregant analysis allowed the identification of genetic loci controlling stigma color on chromosomes 6 and 8.An F2 population consisting of 150 individuals was used for initial mapping.A genetic map of 304.17 cM was constructed using 37 cleaved amplified polymorphism sequence(CAPS)markers.We identified one major quantitative trait locus(QTL)and one minor QTL for stigma color.The major QTL GS8.1 was further mapped to a 4.13 cM interval between CAPS markers 8C-10 and 8C-16,which explained 27.04%of the phenotypic variation.In addition,GS6.1 was mapped between E-49 and 6A-7,explaining 18.6%of the phenotypic variation.This study provides a theoretical basis for the fine mapping and cloning of melon genes controlling stigma color.展开更多
The use of organic waste for the preparation of seedling substrates is an important environmental and economic option. In this perspective, substrates using biochar emerges as an alternative for seedling production du...The use of organic waste for the preparation of seedling substrates is an important environmental and economic option. In this perspective, substrates using biochar emerges as an alternative for seedling production due to their favorable physical and chemical characteristics. The present study aimed to evaluate the efficiency of doses of poultry litter biochar as a substrate constituent for the production and quality of the seedlings. The work was conducted in a semi protected environment, belonging to the Federal University of Campina Grande—UFCG. The statistical design used was completely randomized in a 6 × 2 factorial scheme, consisting of 6 doses of biochar (0, 4, 8, 12, 16 and 20 t<span style="white-space:nowrap;">∙</span>ha<sup><span style="white-space:nowrap;">−</span>1</sup>) and two varieties of melon (Yellow and Hales Best Jumbo) with 4 repetitions totaling 48 experimental units. The fresh and dry plant phytomass mass (aerial, roots and total), root length and the quality of seedlings were evaluated. It was concluded that the addition of poultry litter biochar to the substrate was beneficial, promoting an increase in the analyzed seedling variables, being the ideal dose for good development of melon seedlings 12 t<span style="white-space:nowrap;">∙</span>ha<sup><span style="white-space:nowrap;">−</span>1</sup>. The Yellow variety presented a better response than the Hales Best Jumbo to the charcoal application. Considering the advantages of the use of poultry litter biochar on the substrate composition, found in the present study, its utilization constitutes a viable alternative for the development of melon seedlings and for the environmental disposal of the poultry litter.展开更多
Modeling of fruit morphological formation in melon is important for realizing virtual and digital plant growth.The objective of this study was to characterize the changes in patterns of fruit growth characters during ...Modeling of fruit morphological formation in melon is important for realizing virtual and digital plant growth.The objective of this study was to characterize the changes in patterns of fruit growth characters during plant development.In cultivar experiments,a high-resolution wireless vision sensor network has been developed to realize non-contact automatic uninterrupted measurement of the fruit shape micro-change （fruit size,color,and net）.Results showed that the fruit swelling process （vertical and horizontal diameters） exhibited a slow-rapid-slow pattern,which could be well described with a logistic curve against growing degree days （GDD）;fruit color changes based on the RGB values could be represented by quadratic relationship to cumulative GDD;the fruit net changes over growth progress could be partitioned into three phases according to the time interval.The first phase was from 1 to 30 days after pollination （DAP）,in which the vertical stripe appeared at fruit middle part and the horizontal stripe at fruit petiole and hilum part as well;the second phase was from 30 to 40 DAP,the horizontal stripe occurred at fruit middle part and the net was formed;the third phase was the process started from 40 DAP,the netted breadth and thickness were gradually increased.The model was validated with the independent data from the experiment,and the mean RMSE （root mean square error） of fruit were 0.36 and 0.28 cm for vertical and horizontal diameters,11.9 for fruit color,and 0.45 cm for stripe length and diameter at varied GDD,respectively.This work is beneficial to a reliable foundation for study the relationship between morphological formation and physiological change of the melon fruit internally and then realize the intelligent precision management to improve the yield and quality of greenhouse melon production.展开更多
基金This research was funded by the National Nature Science Foundation of China(Grant No.31772331)the China Agriculture Research System(Grant No.CARS-25).
文摘Stigma color plays an important role in pollination.In nature,melon(Cucumis melo L.)stigmas are either yellow or green;however,a review of the literature found no report on how stigma color affects pollination and fruit development in melon.Here,we used an F_(2)melon population derived from a cross between‘MR-1’(P_(1),with green stigmas)and‘M1–32’(P_(2),with yellow stigmas),and performed genetic analysis and mapping.The results of bulked segregant analysis allowed the identification of genetic loci controlling stigma color on chromosomes 6 and 8.An F2 population consisting of 150 individuals was used for initial mapping.A genetic map of 304.17 cM was constructed using 37 cleaved amplified polymorphism sequence(CAPS)markers.We identified one major quantitative trait locus(QTL)and one minor QTL for stigma color.The major QTL GS8.1 was further mapped to a 4.13 cM interval between CAPS markers 8C-10 and 8C-16,which explained 27.04%of the phenotypic variation.In addition,GS6.1 was mapped between E-49 and 6A-7,explaining 18.6%of the phenotypic variation.This study provides a theoretical basis for the fine mapping and cloning of melon genes controlling stigma color.
文摘The use of organic waste for the preparation of seedling substrates is an important environmental and economic option. In this perspective, substrates using biochar emerges as an alternative for seedling production due to their favorable physical and chemical characteristics. The present study aimed to evaluate the efficiency of doses of poultry litter biochar as a substrate constituent for the production and quality of the seedlings. The work was conducted in a semi protected environment, belonging to the Federal University of Campina Grande—UFCG. The statistical design used was completely randomized in a 6 × 2 factorial scheme, consisting of 6 doses of biochar (0, 4, 8, 12, 16 and 20 t<span style="white-space:nowrap;">∙</span>ha<sup><span style="white-space:nowrap;">−</span>1</sup>) and two varieties of melon (Yellow and Hales Best Jumbo) with 4 repetitions totaling 48 experimental units. The fresh and dry plant phytomass mass (aerial, roots and total), root length and the quality of seedlings were evaluated. It was concluded that the addition of poultry litter biochar to the substrate was beneficial, promoting an increase in the analyzed seedling variables, being the ideal dose for good development of melon seedlings 12 t<span style="white-space:nowrap;">∙</span>ha<sup><span style="white-space:nowrap;">−</span>1</sup>. The Yellow variety presented a better response than the Hales Best Jumbo to the charcoal application. Considering the advantages of the use of poultry litter biochar on the substrate composition, found in the present study, its utilization constitutes a viable alternative for the development of melon seedlings and for the environmental disposal of the poultry litter.
基金funded by the National Natural Science Foundation of China (31000669)the Shanghai Leading Academic Discipline Project,China (B209)
文摘Modeling of fruit morphological formation in melon is important for realizing virtual and digital plant growth.The objective of this study was to characterize the changes in patterns of fruit growth characters during plant development.In cultivar experiments,a high-resolution wireless vision sensor network has been developed to realize non-contact automatic uninterrupted measurement of the fruit shape micro-change （fruit size,color,and net）.Results showed that the fruit swelling process （vertical and horizontal diameters） exhibited a slow-rapid-slow pattern,which could be well described with a logistic curve against growing degree days （GDD）;fruit color changes based on the RGB values could be represented by quadratic relationship to cumulative GDD;the fruit net changes over growth progress could be partitioned into three phases according to the time interval.The first phase was from 1 to 30 days after pollination （DAP）,in which the vertical stripe appeared at fruit middle part and the horizontal stripe at fruit petiole and hilum part as well;the second phase was from 30 to 40 DAP,the horizontal stripe occurred at fruit middle part and the net was formed;the third phase was the process started from 40 DAP,the netted breadth and thickness were gradually increased.The model was validated with the independent data from the experiment,and the mean RMSE （root mean square error） of fruit were 0.36 and 0.28 cm for vertical and horizontal diameters,11.9 for fruit color,and 0.45 cm for stripe length and diameter at varied GDD,respectively.This work is beneficial to a reliable foundation for study the relationship between morphological formation and physiological change of the melon fruit internally and then realize the intelligent precision management to improve the yield and quality of greenhouse melon production.
