Intergenotypic competition and border effect in bread wheat and barley

Romani, Massimo; Borghi, B.; Alberici, R.; Delogu, Giovanni; Hesselbach, Josef; Salamini, F.

doi:10.1007/bf00021722

Cited by 22 publications

(21 citation statements)

References 12 publications

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“…However, due to the small numbers of seeds and limited resources available in early selection cycles, plots sharing one to three rows are common and yield estimates are, therefore, biased [2,4]. This is of lesser importance in early selection cycles that focus on the overall performance of varieties, but it should be avoided in later cycles due to competitive effects of neighbouring plants.…”

Section: Discussionmentioning

confidence: 99%

“…The small size of plots may be disadvantageous because border row effects are known to influence yield. Depending on the type of plot trial, external rows may show increased yield [4] due to increased tillering [5]. …”

Section: Introductionmentioning

confidence: 99%

“…Numerous studies have described border row effects [12] and the advantages and disadvantages of different field trial designs [4,13,14,15], in addition to comparing different spectral sensors [8,11,16]. To the best of our knowledge, no studies have compared the performances of active and passive sensors in assessing the single or multiple rows used in breeding or agronomic experiments; such a comparison was the goal of this work.…”

Section: Introductionmentioning

confidence: 99%

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High-Throughput Phenotyping of Wheat and Barley Plants Grown in Single or Few Rows in Small Plots Using Active and Passive Spectral Proximal Sensing

Barmeier

Schmidhalter

2016

Sensors

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In the early stages of plant breeding, breeders evaluate a large number of varieties. Due to limited availability of seeds and space, plot sizes may range from one to four rows. Spectral proximal sensors can be used in place of labour-intensive methods to estimate specific plant traits. The aim of this study was to test the performance of active and passive sensing to assess single and multiple rows in a breeding nursery. A field trial with single cultivars of winter barley and winter wheat with four plot designs (single-row, wide double-row, three rows, and four rows) was conducted. A GreenSeeker RT100 and a passive bi-directional spectrometer were used to assess biomass fresh and dry weight, as well as aboveground nitrogen content and uptake. Generally, spectral passive sensing and active sensing performed comparably in both crops. Spectral passive sensing was enhanced by the availability of optimized ratio vegetation indices, as well as by an optimized field of view and by reduced distance dependence. Further improvements of both sensors in detecting the performance of plants in single rows can likely be obtained by optimization of sensor positioning or orientation. The results suggest that even in early selection cycles, enhanced high-throughput phenotyping might be able to assess plant performance within plots comprising single or multiple rows. This method has significant potential for advanced breeding.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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High-Throughput Phenotyping of Wheat and Barley Plants Grown in Single or Few Rows in Small Plots Using Active and Passive Spectral Proximal Sensing

Barmeier

Schmidhalter

2016

Sensors

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“…Taking into account previous reports (Gałęzewski et al, 2017) about the unfavourable response of lupine to the proximity of triticale, in terms of production such cultivation of triticale and lupine is also not justified. The solution to this problem is to separate the fields of competing species with a technological path that reduces negative interactions, while losses resulting from the presence of unmanaged space can be compensated for by the border effect (Romani et al, 1993;Gałęzewski et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

Proximity Effect of Spring Cereals and Legumes in Strip Intercropping. Part Iv. Response of Triticale to the Proximity of Wheat, Barley, Pea and Yellow Lupine

Gałęzewski

2020

Acta Sci. Pol., Agricultura

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Background. Because of its relatively low soil requirements and resistance to abiotic stress spring triticale is potentially a good component of mixtures (intercropping). The technologically easiest to use type of this agricultural method, i.e. mixed intercropping, despite having many advantages is not, unfortunately, gaining in importance due to problems related to crop protection and the variable composition of yield. An alternative is strip intercropping, which combines the advantages of pure sowing and intercropping. The production value of such cultivation depends on mutual interactions at the junction of neighbouring rows of different plant species. The aim of the undertaken experiments was to find out the response of spring triticale to the neighbouring occurrence of wheat, barley, pea and yellow lupine and to estimate the production effects of strip intercropping of triticale in the vicinity of plants of these species. Material and methods. This study uses the results of field experiments conducted as part of research on mixed sowings carried out in 2008–2010 in Mochełek near Bydgoszcz (53o13’ N; 17o51’ E). The experimental factor was the location of a plant row, within a strip, for the first four rows into the strip from the neighbouring species. The first row (contact row) was 12.5 cm away from the first row of the neighbouring species. The experimental unit was subsequent plant rows each four metres long. Results. Proximity of spring wheat, spring barley and pea was unfavourable for the growth and yield of spring triticale, especially in the row directly adjacent to a stand of the indicated species. The estimated reduction in triticale yield in strip intercropping, with three-meter wide strips in the two-sided neighbourhood of wheat, barley and pea, would amount to 2.67%, 4.85% and 4.36%, respectively. On the other hand, the proximity of yellow lupine resulted in a slight increase in the plant mass, including straw, the number of grains per spike and in grain yield, but only in the first row. The estimated increase in the yield of spring triticale grown in strip intercropping with yellow lupine, in 3-m-wide strips, was small and only amounted to 1.45%. Conclusion. The selection of plant species to neighbour with spring triticale in strip intercropping had a significant impact on the effect of spring triticale cultivation.

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“…Each plot consisted of 30 plants, with data being taken from ten plants within each plot. Tuber yield was determined from the actual area of each plot, which, according to Romani et al (1993), provides a good estimate of true yield. This is also supported by Neppl et al (2003) whose study indicated that interactions of centre row with border row were insignificant.…”

Section: Experiments Designmentioning

confidence: 99%

Evaluation of quality and variety of Indonesian cassava (Manihot esculenta Crantz)

Amarullah

2020

Int. J. Agril. Res. Innov. & Tech.

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The evaluating cassava varieties for productivity necessary to assess the cassava stem characteristics for their suitability as planting material and to improve the capability of cassava farmers to select good quality cassava varieties. Cassava varieties are generally distinguished from each other by their morphological characteristics, which include leaf, stem and tuber colour. The cassava planting material used in this study and some of characteristics by five cassava varieties, consisted of mature stem cuttings of about 20 cm in length, containing between 10 and 12 nodes and planted in a vertical position along the top of the ridges. Each plot consisted of 30 plants, with date being taken from ten plants within each plot. Cassava varieties Malang-6 presented the highest yield average is 13.81 tones ha-1 followed by Singgah and Adira-4 i.e. 11.98 t ha-1 and 11.11 t ha-1 of different varieties 1 yang Ketan, which only weighs 6.63 t ha-1. Harvest index varieties of Adira-4, Malang-6, UJ 5 and Singgah were found 0.78, 0.77, 0.77 and 0.76, respectively higher and significantly different IP varieties of glutinous Ketan is 0.58. Malang varieties and Malang-6 that produces the highest tuber weight, has a low dry matter content is 5.65% and 5.62%. The Ketan varieties and UJ-5 has a tuber weight was significantly lower with dry matter content higher than that dried 8.69% and 8.68%. The UJ-5 varieties has a tuber weight starch HCN 230,17 higher and significantly other variety. Int. J. Agril. Res. Innov. Tech. 10(1): 108-116, June 2020

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Intergenotypic competition and border effect in bread wheat and barley

Cited by 22 publications

References 12 publications

High-Throughput Phenotyping of Wheat and Barley Plants Grown in Single or Few Rows in Small Plots Using Active and Passive Spectral Proximal Sensing

High-Throughput Phenotyping of Wheat and Barley Plants Grown in Single or Few Rows in Small Plots Using Active and Passive Spectral Proximal Sensing

Proximity Effect of Spring Cereals and Legumes in Strip Intercropping. Part Iv. Response of Triticale to the Proximity of Wheat, Barley, Pea and Yellow Lupine

Evaluation of quality and variety of Indonesian cassava (Manihot esculenta Crantz)

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