Genetic Dynamics Drive Flowering Date Shortening in Wild‐Cultivated Soybean

CSA News ◽  
2021 ◽  

Crop Science ◽  
2021 ◽  
Author(s):  
Fangdong Liu ◽  
Jianbo He ◽  
Wubin Wang ◽  
Guangnan Xing ◽  
Jinming Zhao ◽  
...  


Author(s):  
Neveen Anwer Abdalla

The experiment has been conducted in the nursery of the Department of Horticulture and Landscape Design, College of Agriculture, the University of Basrah to study the effect of Spraying foliar of the biostimulants Izomen and Humus on the growth and flowering of Freesia plants. The corms in similar size were planted in pots with a diameter and height of 25 cm, which filled with 2.5 kg of sterilized loam soil. After 50 days of planting, the plants sprayed with Humus at 0, 1.5, 2.5 ml L-1 and after five days sprayed with Izomen at 0, 1.5, 2.5 ml L-1 The different concentrations of biostimulants are sprayed three times, the period between one spray and another 15 is days. The results showed that the spraying of Humus at 2.5 ml L-1 significantly increased the plant height, the number of leaves and the leaf content of chlorophyll recorded (29.56 cm, 8.33 and 58.43%) respectively. Moreover, it is recorded early the flowering date (130 days), and the highest flowering mean is (2.12 inflorescence/plant) and the highest period of the remained flowers on the plant and the vase life (10 and 8 days) respectively. The effects of both Humus and Izomen were similar. In addition to the highest mean of their interaction at 2.5 ml L -1for all the studied traits.



2021 ◽  
Vol 13 (5) ◽  
pp. 860
Author(s):  
Yi-Chun Lin ◽  
Tian Zhou ◽  
Taojun Wang ◽  
Melba Crawford ◽  
Ayman Habib

Remote sensing platforms have become an effective data acquisition tool for digital agriculture. Imaging sensors onboard unmanned aerial vehicles (UAVs) and tractors are providing unprecedented high-geometric-resolution data for several crop phenotyping activities (e.g., canopy cover estimation, plant localization, and flowering date identification). Among potential products, orthophotos play an important role in agricultural management. Traditional orthophoto generation strategies suffer from several artifacts (e.g., double mapping, excessive pixilation, and seamline distortions). The above problems are more pronounced when dealing with mid- to late-season imagery, which is often used for establishing flowering date (e.g., tassel and panicle detection for maize and sorghum crops, respectively). In response to these challenges, this paper introduces new strategies for generating orthophotos that are conducive to the straightforward detection of tassels and panicles. The orthophoto generation strategies are valid for both frame and push-broom imaging systems. The target function of these strategies is striking a balance between the improved visual appearance of tassels/panicles and their geolocation accuracy. The new strategies are based on generating a smooth digital surface model (DSM) that maintains the geolocation quality along the plant rows while reducing double mapping and pixilation artifacts. Moreover, seamline control strategies are applied to avoid having seamline distortions at locations where the tassels and panicles are expected. The quality of generated orthophotos is evaluated through visual inspection as well as quantitative assessment of the degree of similarity between the generated orthophotos and original images. Several experimental results from both UAV and ground platforms show that the proposed strategies do improve the visual quality of derived orthophotos while maintaining the geolocation accuracy at tassel/panicle locations.



Author(s):  
Davoud Torkamaneh ◽  
Marc‐André Lemay ◽  
François Belzile


2013 ◽  
Vol 100 (7) ◽  
pp. 1381-1397 ◽  
Author(s):  
Susan J. Mazer ◽  
Steven E. Travers ◽  
Benjamin I. Cook ◽  
T. Jonathan Davies ◽  
Kjell Bolmgren ◽  
...  


2007 ◽  
Vol 44 (1) ◽  
pp. 155-162 ◽  
Author(s):  
Pham Q. Hung ◽  
Senthil M. Kumar ◽  
V. Govindsamy ◽  
K. Annapurna




2010 ◽  
Vol 42 (12) ◽  
pp. 1053-1059 ◽  
Author(s):  
Hon-Ming Lam ◽  
Xun Xu ◽  
Xin Liu ◽  
Wenbin Chen ◽  
Guohua Yang ◽  
...  


2018 ◽  
Vol 6 (2) ◽  
pp. 120-129
Author(s):  
Abilio Tilman Baptista ◽  
Damanhuri ◽  
Nunun Barunawati

Rice is an important commodity for the majority of the population, especially in the continent of Asia use rice as a staple food. The state of Indonesia and East Timor, rice as the main food source that needs continue to increase because in addition to the population continues to grow at a rate of increase of about 2% per year, as well as the change in consumption pattern of the population of non-rice to the rice. Interest characterization and evaluation of the appearance of rice(Oryza Sativa L.) locally Timor Leste and Indonesian rice are getting Local rice genotypes Timorese suitable for cultivated in paddy fields. This research using a randomized block design (RBD) consisted of 9 treatments and 3 replications. The materials used are high-yielding rice varieties namely IR-3 64, Ciherang, Cimelati and 6 local rice genotypes Timor Leste, namely Hare Foam, Fafulu Hare, Hare Bauk Morin, Mean Hare, Hare and Hare Modok Fulan. Results showed that the highest plant length at the age of 10 MST contained in the local rice Hare Bauk Morin(134.67 cm), Number of tillers(40.30) the number of leaves(4.64).Flowering date and time of harvest shortest genotypes present in Morin namely Hare Bauk flowering date (39 days) and time of harvest (105 days). The highest number of panicles contained in Hare Mean genotype, high-yielding varieties IR64, Ciherang and Cimelati. The length of the longest panicle genotypes present in Foam Hare, Hare Hare Fafulu, and Fulan. The number of filled grains per panicle most contained in superior varieties IR64, Ciherang and Cimelati. The highest weight of 1000 grains contained in Cimelati varieties (vu3) with Hare Bauk Morin, IR64 and Cherang varieties. The highest rice yield for local rice genotypes present in Hare Bauk Morin (G3) of 9.79 ton.Ha-1 while yielding varieties there exist varieties Cherang (vu2) of 9.74 ton.Ha-1.



2016 ◽  
Vol 18 (1) ◽  
pp. 42-54 ◽  
Author(s):  
Kwang-Hyung Kim ◽  
Yeo Min Jeong ◽  
Youn-Sup Cho ◽  
Uran Chung
Keyword(s):  


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