Effects of potassium fertilization on potato starch physicochemical properties

Zhang, Wei; Li, Xinwei; Wang, Qiaolan; Zhang, Haiqing; Li, Mingfeng; Song, Botao; Zhao, Zhong-Qiu

doi:10.1016/j.ijbiomac.2018.05.131

Cited by 43 publications

(57 citation statements)

References 46 publications

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“…Potato is one of the most important economic crops in the world with an annual production of more than 380 million tons [1]. Its yield is affected by many factors including cultivars and nutrient supplies [2].…”

Section: Introductionmentioning

confidence: 99%

The estimation of crop emergence in potatoes by UAV RGB imagery

Xu²,

Han

et al. 2019

Plant Methods

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BackgroundCrop emergence and canopy cover are important physiological traits for potato (Solanum tuberosum L.) cultivar evaluation and nutrients management. They play important roles in variety screening, field management and yield prediction. Traditional manual assessment of these traits is not only laborious but often subjective. ResultsIn this study, semi-automated image analysis software was developed to estimate crop emergence from high-resolution RGB ortho-images captured from an unmanned aerial vehicle (UAV). Potato plant objects were extracted from bare soil using Excess Green Index and Otsu thresholding methods. Six morphological features were calculated from the images to be variables of a Random Forest classifier for estimating the number of potato plants at emergence stage. The outputs were then used to estimate crop emergence in three field experiments that were designed to investigate the effects of cultivars, levels of potassium (K) fertiliser input, and new compound fertilisers on potato growth. The results indicated that RGB UAV image analysis can accurately estimate potato crop emergence rate in comparison to manual assessment, with correlation coefficient () of 0.96 and provide an efficient tool to evaluate emergence uniformity.ConclusionsThe proposed UAV image analysis method is a promising tool for use as a high throughput phenotyping method for assessing potato crop development at emergence stage. It can also facilitate future studies on optimizing fertiliser management and improving emergence consistency.

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Section: Introductionmentioning

confidence: 99%

The estimation of crop emergence in potatoes by UAV RGB imagery

Xu²,

Han

et al. 2019

Plant Methods

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“…To maximize the screening of genotypes for K response, trials usually include only a few K treatments and typically no more than two. According to previous studies, most potato cultivars have the highest yield at 270-300 kg ha -1 K2O application (Zelelew et al, 2016;Zhang et al, 2018). This study chose 300 kg ha -1 K2O as the high potassium treatment.…”

Section: Discussionmentioning

confidence: 99%

“…Indeed, the K concentrations in the leaves were below the threshold level of 42.3 g kg -1 , which is associated with the maximum tuber yield (Reis Jr and Monnerat, 2000). K2O (270-300 kg ha -1 ) produced the highest yield in potato production (Zelelew et al, 2016;Zhang et al, 2018). To reduce K fertilizer inputs and environmental pollution, the experiments reported here were designed to identify (1) potato genotypes with high K efficiency for further use in breeding, and (2) the differences in K and sugar distributions between high-and low-K utilization efficiency potato genotypes.…”

Section: Introductionmentioning

confidence: 98%

Screening high potassium efficiency potato genotypes and physiological responses at different potassium levels

Deng

Yang

Chen

et al. 2021

Not Bot Horti Agrobo

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Potato (Solanum tuberosum L.) growth and production is highly dependent on potassium (K) levels in the soil. Southwest China is the largest potato production region but it has low availability of soil potassium. To assess the genetic variation in K use efficiency, 20 potato genotypes were collected to compare the yield and K content in a pot experiment. Moreover, ‘Huayu-5’ and ‘Zhongshu-19’ were cultivated in five K applications to investigate the K distribution and sucrose in different organs. The results indicated that there were highly significant effects of K, genotype and K×G interactions on tuber yield, plant and tuber K content, plant K uptake efficiency and K harvest index. Cluster analysis classified 20 potato genotypes into four types: DH (high efficiency at low and high K application), LKH (high efficiency at low K application), HKH (high efficiency at high K application) and DL (low efficiency at low and high K application). The potassium distribution percentage in the tubers of the potassium-efficient genotype was higher than that of the potassium-inefficient genotype under low potassium application. The sucrose content in the tuber gently declined as the application of K rose in both cultivars, and that in the tuber of ‘Huayu-5’ was higher than that in ‘Zhongshu-19’. ‘Huayu-5’ reached the highest yield when the potassium application was 159.45 kg ha-1, and ‘Zhongshu-19’ reached the highest yield when the potassium application was 281.4 kg ha-1. This study indicated that genetic variation for K utilization efficiency existed among 20 genotypes, and yield in low K application and relative yield were suitable criteria for screening K utilization efficiency genotypes.

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“…The life-cycle inventory also included the application of 100 kg potassium in form of potassium sulphate, according to the fertilization recommendation of Singh [24]. It has been shown that potassium fertilization has positive effects on the yield and quality of tuberous root plants [25]. The potassium fertilization was the same for all nitrogen fertilisation levels analysed in this assessment.…”

Section: Life-cycle Inventorymentioning

confidence: 99%

Environmental and Economic Performance of Yacon (Smallanthus sonchifolius) Cultivated for Fructooligosaccharide Production

et al. 2019

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As the prevalence of diabetes is predicted to rise globally in the coming decades, the demand for sugar substitutes is expected to increase significantly. In this context, natural sweeteners have been receiving particular attention, as artificial sweeteners have been associated with obesity and cardiovascular disease. One natural sweetener is yacon (Smallanthus sonchifolius) ((Poepp. and Endl.) H. Robinson), which could play a prominent role due to its high fructooligosaccharides yield. Yacon is currently only a minor crop in Europe and there is little information available on the environmental and economic impacts of its various cultivation systems. These are especially affected by nitrogen fertilization levels and genotype selection. Thus, before the crop is introduced on a larger scale, it is expedient to identify the most sustainable cultivation system. The life-cycle assessment (LCA) and life-cycle costing (LCC) analysis of yacon cultivation systems conducted in this study revealed significant differences between yacon genotypes and found that a nitrogen fertilization level of 80 kg N ha−1 significantly decreased production costs and simultaneously led to a comparatively good environmental performance. The results indicated that, for the holistic evaluation of agricultural systems, it is crucial to assess both the economic and environmental performance of new crops.

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Effects of potassium fertilization on potato starch physicochemical properties

Cited by 43 publications

References 46 publications

The estimation of crop emergence in potatoes by UAV RGB imagery

The estimation of crop emergence in potatoes by UAV RGB imagery

Screening high potassium efficiency potato genotypes and physiological responses at different potassium levels

Environmental and Economic Performance of Yacon (Smallanthus sonchifolius) Cultivated for Fructooligosaccharide Production

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