The Effects of Planting Density on Lodging Resistance, Related Enzyme Activities, and Grain Yield in Different Genotypes of Oilseed Flax

Crop Science ◽  
2018 ◽  
Vol 58 (6) ◽  
pp. 2613-2622 ◽  
Author(s):  
Yuhong Gao ◽  
Hanyu Jiang ◽  
Bing Wu ◽  
Junyi Niu ◽  
Yajiao Li ◽  
...  
2020 ◽  
Vol 47 (4) ◽  
pp. 738-751
Author(s):  
Ying-Xia ZHENG ◽  
Du CHEN ◽  
Peng-Cheng WEI ◽  
Ping LU ◽  
Jin-Yue YANG ◽  
...  

2005 ◽  
Vol 53 (4) ◽  
pp. 405-415 ◽  
Author(s):  
P. Janaki ◽  
T. M. Thiyagarajan

Field experiments were conducted during 1998 and 1999 in June-September with rice variety ASD18 at the wetland farm, Tamil Nadu Agricultural University, Coimbatore, India to find out theeffect of N management approaches and planting densities on N accumulation by transplanted rice in a split plot design.The main plot consisted of three plant populations (33, 66 and 100 hills m-2) and the sub-plot treatments of five N management approaches. The results revealed thatthe average N uptake in roots and aboveground biomass progressively increased with growth stages. The mean root and aboveground biomass Nuptake were 26.1 to 130.6 and 6.4 to 17.8 kg ha-1, respectively. The N uptake of grain and straw was higher in theSesbania rostratagreen manuring + 150 kg N treatment, but it was not effective in increasing the grain yield. The mean total N uptake was found to be significantly lower at 33 hills m-2(76.9 kg ha-1) and increased with an increase in planting density (100.9 and 117.2 kg ha-1at 66 and 100 hills m-2density). N application had a significant influence on N uptake and the time course of N uptake in all the SPAD-guided N approaches. A significant regression coefficient was observed between the crop N uptake and grain yield. The relationship between cumulative N uptake at the flowering stage and the grain yield was quadratic at all three densities. The N uptake rate (µN) was maximum during the active tillering to panicle initiation period and declined sharply after that. In general, µNincreased with an increase in planting density and the increase was significant up to the panicle initiation to flowering period.thereafter, the N uptake rate was similar at densities of 66 and 100 hills m-2.


2009 ◽  
Vol 38 (4) ◽  
pp. 409-414 ◽  
Author(s):  
Mi-Ra Lee ◽  
Bai-Shen Sun ◽  
Li-Juan Gu ◽  
Chun-Yan Wang ◽  
Zhe-Ming Fang ◽  
...  

Bioengineered ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 3684-3698
Author(s):  
Xilin Ning ◽  
Xiaohui Wang ◽  
Zheyun Guan ◽  
Yan Gu ◽  
Chunsheng Wu ◽  
...  

2021 ◽  
Vol 13 (12) ◽  
pp. 6876
Author(s):  
Yuetao Zuo ◽  
Xueyue Zhang ◽  
Shiyu Zuo ◽  
Xiaosong Ren ◽  
Zhaoyue Liu ◽  
...  

In response to the production crisis caused by a winter feed shortage due to the rapid development of the animal husbandry industry, winter rye 001 was selected to study differences in stalk and senescence characteristics in yield formation in cold regions. Five density treatments were established in a randomized design as 225 × 104 plant·hm−2 (D1), 275 × 104 plant·hm−2 (D2), 325 × 104 plant·hm−2 (D3), 375 × 104 plant·hm−2 (D4), and 425 × 104 plant·hm−2 (D5). Stem characteristics, SOD activity, POD activity, MDA content, and differences in yield and feeding quality under different population densities were analyzed. The plant height, center of gravity, and stem basal internode length showed an increasing trend with an increase in planting density. The stem wall thickness, diameter, strength, and lodging resistance indices decreased. At 275 × 104 plants·hm−2, the rye crude protein content was the highest while neutral washing fiber and acid washing fiber were the lowest, and feed quality was the best. With an increase in density, spike number, grain number per spike, and thousand-grain weight first increased and then decreased. We concluded that the yield and feeding quality were best when the basic seedling was at 275 × 104 plants hm−2.


Author(s):  
Guotao Yang ◽  
Xuechun Wang ◽  
Farhan Nabi ◽  
Hongni Wang ◽  
Changkun Zhao ◽  
...  

AbstractThe architecture of rice plant represents important and complex agronomic traits, such as panicles morphology, which directly influence the microclimate of rice population and consequently grain yield. To enhance yield, modification of plant architecture to create new hybrid cultivars is considered a sustainable approach. The current study includes an investigation of yield and microclimate response index under low to high plant density of two indica hybrid rice R498 (curved panicles) and R499 (erect panicles), from 2017 to 2018. The split-plot design included planting densities of 11.9–36.2 plant/m2. The results showed that compared with R498, R499 produced a higher grain yield of 8.02–8.83 t/ha at a higher planting density of 26.5–36.2 plant/m2. The response index of light intensity and relative humidity to the planting density of R499 was higher than that of R498 at the lower position of the rice population. However, the response index of temperature to the planting density of R499 was higher at the upper position (0.2–1.4%) than at the lower position. Compared with R498, R499 at a high planting density developed lower relative humidity (78–88%) and higher light intensity (9900–15,916 lx) at the lower position of the rice population. Our finding suggests that erect panicles are highly related to grain yield microclimatic contributors under a highly dense rice population, such as light intensity utilization, humidity, and temperature. The application of erect panicle rice type provides a potential strategy for yield improvement by increasing microclimatic conditions in rice.


2021 ◽  
Vol 20 (5) ◽  
pp. 1204-1215
Author(s):  
Wen-xia WANG ◽  
Jie DU ◽  
Yan-zhi ZHOU ◽  
Yong-jun ZENG ◽  
Xue-ming TAN ◽  
...  

2021 ◽  
Vol 20 (8) ◽  
pp. 2077-2089
Author(s):  
Bin LI ◽  
Fei GAO ◽  
Bai-zhao REN ◽  
Shu-ting DONG ◽  
Peng LIU ◽  
...  

2008 ◽  
Vol 48 (2) ◽  
pp. 294-303 ◽  
Author(s):  
Maria Skoglund ◽  
David M. Peterson ◽  
Roger Andersson ◽  
Janicka Nilsson ◽  
Lena H. Dimberg

Aquaculture ◽  
2013 ◽  
Vol 396-399 ◽  
pp. 82-88 ◽  
Author(s):  
Shan-Liang Xu ◽  
Dan-Li Wang ◽  
Chao-Yan Jia ◽  
Shan Jin ◽  
Chun-Lin Wang ◽  
...  

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