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Gravois, K. A.; Helms, R. S.

doi:10.1023/a:1018344615296

Cited by 17 publications

(6 citation statements)

References 9 publications

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“…The availability of a QBASIC program called STABLE (Kang and Magari 1995) furthered the use of YSi. For example, Waldron et al (2002) used it to study stability of yield of cool-season pasture grasses; Gravois and Helms (1998) and Gravois and Bernhardt (2000) used yield stability statistic to select rice cultivars for seed yield and seed quality, respectively; Fan et al (2007) evaluated grain yield stability of maize hybrids; Upadhya and Cabello (2000) evaluated the stability of potato seed families; Baxevanos et al (2008) reported very high repeatability of yieldstability statistic in multi-environment trial of cotton cultivars; Rao et al (2002) used of YS i to select foodgrade soybean genotypes for some agronomic traits, e.g., plant height, seed weight, biomass, seed yield, and harvest index. In addition, Bertoia et al (2002) used of YS i to identify superior maize hybrids on the basis of forage yield and stability.…”

Section: Discussionmentioning

confidence: 99%

Genotype × environment interactions and simultaneous selection for high oil yield and stability in rainfed warm areas rapeseed (Brassica napus L.) from Iran

Moghaddam¹,

Pourdad²

2011

Euphytica

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Partitioning of the genotypes by environment interaction (GEI) is important in order to determine the nature of the GEI. The objectives of this study were to assess the presence and nature of GEI for nine agronomic traits of rapeseed cultivars, and to identify cultivars with favorable levels of stable oil production. Nine rapeseed cultivars, including seven open pollinated and two hybrids, Hyola308 and Hyola401, were grown in ten environments under rain-fed warm areas of Iran. The GEI was significant for all traits and was partitioned into components representing heterogeneity due to environmental index and the remainder of the GEI. Among the all traits with a highly significant heterogeneity, the largest amount of heterogeneity removed from the GEI was for seeds per pod and seed weight. We found GEIs for both oil content and seed yield were largely influenced by differences in correlations among pairs of cultivars (86.8 and 71.4% of the GEI sum of squares, respectively), suggesting that crossover GEIs (i.e., change in genotype rankings among environments) are present. The mean correlation of each cultivar with all other cultivars (" r ii 0 ) ranged from 0.53 to 0.83 for oil content and 0.86 to 0.96 for seed yield. A comparison was done of the significance of Sh-r i 2 (stability variance derived from total GEI) and Sh-S i 2 (adjusted stability variance derived from residual GEI) assignable to each genotype for oil content and seed and oil yield. Based on Sh-r i 2 , three cultivars were unstable for oil content, whereas six cultivars were unstable for seed and oil yield. The removal of heterogeneity revealed that one unstable cultivar for oil content and three unstable cultivars for oil yield were judged to be stable. All cultivars with " r ii 0 B 0.63 were labeled unstable for oil content, whereas all with " r ii 0 B 0.94 were considered unstable for seed yield. The relationships between " r ii 0 and Sh-r i 2 were significant (P \ 0.01) for oil content and seed yield. The results of rank correlation coefficients showed significant positive correlations of Yield-Stability statistic (YS i ) with oil content and oil yield. Cultivars such as Option500 and Hyola401 were identified as having stable, high levels to seed yield and oil content.

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Section: Discussionmentioning

confidence: 99%

Genotype × environment interactions and simultaneous selection for high oil yield and stability in rainfed warm areas rapeseed (Brassica napus L.) from Iran

Moghaddam¹,

Pourdad²

2011

Euphytica

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“…Variation in grain yield for the same cultivar has been widely observed across locations and planting years (Gravois and Helms, 1998;Wang et al, 2004;Gong et al, 2008;Blanche and Linscombe, 2009;Ma et al, 2011;Jaruchai et al, 2018). The fluctuation in the average yield at the regional scale was also observed; for example, the average yield of single-season rice is 8.27 and 7.95 t ha −1 in 2016, respectively, in Hubei Province, China (National Bureau of Statistics, n.d.).…”

Section: Introductionmentioning

confidence: 99%

Night Temperature Determines the Interannual Yield Variation in Hybrid and Inbred Rice Widely Used in Central China Through Different Effects on Reproductive Growth

et al. 2021

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Interannual variation in grain yield of rice has been observed at both farm and regional scales, which is related to the climate variability. Previous studies focus on predicting the trend of climate change in the future and its potential effects on rice production using climate models; however, field studies are lacking to examine the climatic causes underlying the interannual yield variability for different rice cultivars. Here a 6-year field experiment from 2012 to 2017 was conducted using one hybrid (Yangliangyou6, YLY6) cultivar and one inbred (Huanghuazhan, HHZ) cultivar to determine the climate factors responsible for the interannual yield variation. A significant variation in grain yield was observed for both the inbred and hybrid cultivars across six planting years, and the coefficient of variation for grain yield was 7.3–10.5%. The night temperature (average daily minimum temperature, Tmin) contributed to the yield variability in both cultivars. However, the two cultivars showed different responses to the change in Tmin. The yield variation in HHZ was mainly explained by the effects of Tmin on grain filling percentage and grain weight, while the change in spikelets m−2 in response to Tmin accounted for the yield variability in YLY6. Further analysis found that spikelets m−2 of YLY6 significantly and negatively correlated with Tmin from transplanting to heading. For HHZ, the grain filling percentage and grain weight were significantly affected by Tmin of the week prior to heading and from heading to maturity, respectively. Overall, there were differences in the response mechanism between hybrid and inbred cultivars to high night temperature. These will facilitate the development of climate-resilient cultivars and appropriate management practices to achieve a stable grain yield.

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“…Conversely, PW3 was the most stable across years, suggesting that in most years this window provides appropriate or optimal conditions for planting. It is important to notice that for Years 2011 and 2017 the highest yield values were recorded at the earlier part of PW1, while in Years 2015 and 2018, no significant differences were recorded within the optimal window ter reducing yield potential (Gravois & Helms, 1998;Slaton et al, 2003). Other explanations given for the higher yield loss during later plantings can be found in the higher blast disease (Magnaporthe grisea) pressure (Gravois & Helms, 1998) and heavier rice water-weevil insect (Lissorhoptrus oryzophilus) pressure (Sha & Linscombe, 2007).…”

Section: Optimum Planting Windowmentioning

confidence: 96%

“…Higher temperatures during grain filling seem to negatively affect head rice yield, and disease pressure and insect damage could increase during later plantings (Sha & Linscombe, 2007). On the other hand, rice planted too early is at risk for poor germination and poor stand, which can lead to reduced yields (Gravois & Helms, 1998;Saichuk et al, 2014). Speed and rate of germination are highly temperature dependent, and rice should not be planted when the average air and soil temperature is below 15˚C (Smith & Dilday, 2003).…”

Section: Introductionmentioning

confidence: 99%

“…These previous experiments highlight the importance of planting as soon as the conditions are ideal for rice germination and growth and that those dates vary based on the planting method. Optimal growing conditions at planting ensure better seedling growth which reduces weed pressure and cost for its management (Gravois & Helms, 1998). Higher temperatures during grain filling seem to negatively affect head rice yield, and disease pressure and insect damage could increase during later plantings (Sha & Linscombe, 2007).…”

Section: Introductionmentioning

confidence: 99%

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Effect of rice planting date and optimal planting window for Southwest Louisiana

et al. 2021

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Planting date is a major component in yield and agronomic traits in rice. 2) The optimal planting window in South Louisiana was from March 10 and March 31. 3) A yield reduction of 47.8 kg ha-1 per day is observed for each day planting is delayed past March 31. This article is protected by copyright. All rights reserved. 2 4) The optimal planting date for a specific year varies based on environmental and soil conditions.

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Untitled

Cited by 17 publications

References 9 publications

Genotype × environment interactions and simultaneous selection for high oil yield and stability in rainfed warm areas rapeseed (Brassica napus L.) from Iran

Genotype × environment interactions and simultaneous selection for high oil yield and stability in rainfed warm areas rapeseed (Brassica napus L.) from Iran

Night Temperature Determines the Interannual Yield Variation in Hybrid and Inbred Rice Widely Used in Central China Through Different Effects on Reproductive Growth

Effect of rice planting date and optimal planting window for Southwest Louisiana

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