Yield potential, yield stability and stress tolerance in maize

2002 ◽  
Vol 75 (2-3) ◽  
pp. 161-169 ◽  
Author(s):  
M. Tollenaar ◽  
E.A. Lee
Keyword(s):  
Stress Tolerance ◽  
Yield Stability ◽  
Yield Potential ◽  
Potential Yield

scholarly journals Screening for Drought Tolerance in Thirty Three Taro Cultivars

2018 ◽  
Vol 46 (1) ◽  
pp. 65-74 ◽  
Author(s):  
José F.T. GANANÇA ◽  
José G.R. FREITAS ◽  
Humberto G.M. NÓBREGA ◽  
Vanessa RODRIGUES ◽  
Gonçalo ANTUNES ◽  
...  
Keyword(s):  
Drought Tolerance ◽  
Agronomic Traits ◽  
Yield Stability ◽  
Yield Potential ◽  
High Yield ◽  
Potential Yield ◽  
Local Cultivars ◽  
Drought Avoidance ◽  
Drought Tolerant ◽  
Long Duration

Taro [Colocasia esculenta (L.) Schott] is a root crop which is an important staple food in many regions of the world, producing 10.5 million tonnes on 1.4 million hectares a year. The crop is cultivated in wet (rain fed) or irrigated conditions, requiring on average 2,500 mm water per year, and in many countries it is cultivated in flooded plots. It is estimated that taro production could decrease by 40% as a result of the increase in drought and other severe events. In this work, thirty three accessions, including local cultivars, selected and hybrid lines were submitted to long duration drought stress and screened for tolerance. Twelve physiological, morphological and agronomic traits were measured at harvest, and subject to multivariate analysis. Stress indices, Water Use Efficiency and Factorial Analysis were useful for discriminating accessions regarding drought tolerance and yield stability, and drought tolerant and susceptible cultivars were identified. Our results confirm that different taro cultivars have different drought avoidance and tolerance strategies to cope with water scarcity. Better yield performers minimised biomass and canopy loss, while tolerance was observed in cultivars that presented low potential yield, but efficiently transferred resources to enhance corm formation. Among the 33 accessions, two local cultivars showed high yield stability and could be considered as suitable parents for breeding programs, while two others are well adapted to drought, but with overall low yield potential.

scholarly journals STRESS TOLERANCE INDEX- A NEW INDICATOR OF TOLERANCE

HortScience ◽  
1992 ◽  
Vol 27 (6) ◽  
pp. 626d-626 ◽  
Author(s):  
George C.J. Fernandez
Keyword(s):  
Stress Intensity ◽  
Stress Tolerance ◽  
Selection Criteria ◽  
High Stress ◽  
Selection Criterion ◽  
Yield Potential ◽  
High Yield ◽  
Tolerance Index ◽  
Potential Yield ◽  
Yield Data

Selection criteria for identifying genotypes with high stress tolerance and high yielding potentials were compared using a moderately stressed, (Stress intensity, [1-(mean stress yield (Yp̄)/mean potential yield (Ys̄)] 0.73) and a severely stressed (Stress intensity, 0.24) mungbean yield data sets. Selection based on tolerance (T), difference between potential yield (Yp) and the yield in stress environment (Ys) favored genotypes with tolerance and low yield potentials. Selection based on the mean productivity (MP), [MP=(Yp+Ys)/2] favored the genotypes with high yielding potential. The Stress Susceptibility Index (S), (S = [(Yp-Ys)/Yp]/[(Yp̄-Ys̄)/Yp̄], also favored the low yielding and stress tolerant genotypes. These selection criteria failed to identify genotypes with high yielding and stress tolerance potentials. Thus, a selection criterion, Stress Tolerance Index (STI) is proposed here which identifies genotypes with high yield and stress tolerance potentials. The STI takes into account both stress tolerance and yield potentials. The STI is estimated as: [Yp/Yp̄][1-(T/Yp̄)]. The higher the value of STI for a genotype in a given stressed environment, the higher was its stress tolerance and yield potential. The interrelationships between these stress tolerance criteria are discussed by a biplot display.

scholarly journals Yield stability for cereals in a changing climate

2012 ◽  
Vol 39 (7) ◽  
pp. 539 ◽  
Author(s):  
Nicola Powell ◽  
Xuemei Ji ◽  
Rudabe Ravash ◽  
Jane Edlington ◽  
Rudy Dolferus
Keyword(s):  
Abiotic Stress ◽  
Stress Tolerance ◽  
Abiotic Stress Tolerance ◽  
Yield Stability ◽  
Yield Potential ◽  
Screening Methods ◽  
World Population ◽  
Weather Extremes ◽  
Changing Climate ◽  
Grain Productivity

The United Nations Food and Agriculture Organisation (FAO) forecasts a 34% increase in the world population by 2050. As a consequence, the productivity of important staple crops such as cereals needs to be boosted by an estimated 43%. This growth in cereal productivity will need to occur in a world with a changing climate, where more frequent weather extremes will impact on grain productivity. Improving cereal productivity will, therefore, not only be a matter of increasing yield potential of current germplasm, but also of improving yield stability through enhanced tolerance to abiotic stresses. Successful reproductive development in cereals is essential for grain productivity and environmental constraints (drought, cold, frost, heat and waterlogging) that are associated with climate change are likely to have severe effects on yield stability of cereal crops. Currently, genetic gains conferring improved abiotic stress tolerance in cereals is hampered by the lack of reliable screening methods, availability of suitable germplasm and poor knowledge about the physiological and molecular underpinnings of abiotic stress tolerance traits.

Evaluation of castorbean samples by economically - valuable traits

2018 ◽  
pp. 39-48
Keyword(s):  
Ricinoleic Acid ◽  
Castor Bean ◽  
Castor Oil ◽  
Oil Content ◽  
Climatic Conditions ◽  
Second Order ◽  
Yield Potential ◽  
Technological Parameters ◽  
Potential Yield ◽  
Ricinolic Acid

Castor oil (Ricinus communus L.) is an important commercial product. The climatic conditions of Ukraine determine the possibility of growing the castor as an annual crop. At the Institute of Oilseeds NAAS studied castor collection. The aim of the work was the selection of the most promising samples of castor oil, combining a large yield potential in a narrow range of vertical distribution for optimal technological parameters of mechanical harvesting with a high content of oil in seeds and ricinolic acid in oil. In the experience of 2015-2016, the manifestation of morphological features of 17 castor bean samples was studied. The height of plants, individual samples among themselves differed more than twice. Long-brush samples of ЕР118, К374, М203, К159 are distinguished on the basis of the length of the brush. The shortest brush was observed in sample K1008. The length of the productive brush in the studied samples is from 10.7 to 32.9 cm. Most castor bean samples under favorable conditions form brushes of the second and higher orders. According to this parameter, samples of Ep118 and selection No. 38 with four inflorescences of the second order are of the greatest interest. The largest brushes of the second order are similar in size to the brushes of the first order were observed in the samples: К1127, К810, К153. The adaptability of harvesting castor beads requires that the brushes of the first and second order coincide in height with each other, since the harvester can take a maximum of 60 cm. For the sum of the productive brushes of the first and second orders, the greatest potential yield will be provided by samples K159 and K1127. Among the studied collection stands out the small seed sample K159 and the large seed samples - PRL41 and K80. The average oil content in the seeds of the collection was from 52 to 61.4%. Sample38 had the highest oil content. The content of ricinolic acid in the collection was from 70.9 to 82.9%. Samples were isolated: К134, К1008, PRL41, К430 with the content of ricinoleic acid more than 80%. The results of the study of all parameters make it possible to isolate valuable technological samples. Sample K1064 with a high technological potential of productivity, with a seed oil content of 57.2%, has a not very high content of ricinoleic acid of 74.3%. Sample K1127 with an oil content of 58.6%, a mass of 1000 seeds of 265 g, a high potential of productive brushes has a wide variation in the arrangement of brushes. Sample K134 with a oil content of 57.1%, ricinoleic acid content of 80.7% has small second-order brushes and can be used as a single-cysts in a thicker seeding.

scholarly journals A Review of Industrial Crop Yield Performances on Unfavorable Soil Types

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2382
Author(s):  
Jana Reinhardt ◽  
Pia Hilgert ◽  
Moritz Von Cossel
Keyword(s):  
Agricultural Land ◽  
Field Trials ◽  
Yield Potential ◽  
Soil Types ◽  
Potential Yield ◽  
Indirect Land Use Change ◽  
Industrial Crop ◽  
Large Yield ◽  
Marginal Agricultural Land ◽  
The Impact

Industrial crop cultivation on marginal agricultural land limits indirect land-use change effects that pose a threat to food security. This review compiles results from 91 published crop-specific field trial datasets spanning 12 relevant industrial crops and discusses their suitability for cultivation on unfavorable soil types (USTs). It was shown that the perennial species Miscanthus (Miscanthus Andersson) and reed canary grass (Phalaris arundinacea L.) performed well on USTs with both high clay and/or high sand contents. Information on stoniness (particles sizes > 2 mm), where mentioned, was limited. It was found to have only a small impact on biological yield potential, though it was not possible to assess the impact on mechanization as would be used at a commercial scale. For soils with extreme clay or sand contents, half of the crops showed moderate suitability. The large yield variations within and between crops revealed large knowledge gaps in the combined effects of crop type and agronomy on USTs. Therefore, more field trials are needed on diverse USTs in different climates with better equipment and more consistent measurements to improve the accuracy of potential yield predictions spatially and temporally. Additionally, larger trials are needed to optimize cultivation and harvesting.

scholarly journals Model Simulasi dan Visualisasi Prediksi Potensi Hasil dan Produksi Kedelai di Jawa Timur

2016 ◽  
Vol 34 (3) ◽  
pp. 195
Author(s):  
Bambang S. Koentjoro ◽  
Imas S. Sitanggang ◽  
Abdul Karim Makarim
Keyword(s):  
Simulation Model ◽  
Systems Approach ◽  
Yield Potential ◽  
Soybean Plant ◽  
Climatic Data ◽  
Observation Data ◽  
Potential Yield ◽  
Soybean Yield ◽  
Soybean Production ◽  
Growth Simulator

<p>The prediction of national soybean yield and production could be improved its accuracy by integrating a simulation model and Geographic Information Systems (GIS). The objective of this research was to integrate a simulation model with a GIS, to predict the potential yield and production of soybean in the soybean production centers of East Java. This study was conducted from December 2013 till May 2014. The approach used in this study was a systems approach using a simulation model as solution to the problem. The model is SUCROS.SIM (Simple Universal Crops Growth Simulator), which was written using Powersim software and Spreadsheet in order to be fully integrated with GIS. The initial phase of the integration process between SUCROS.SIM and GIS are as follows (a) model validation, using input data of soybean plant assimilate partitioning, (b) climatic data (solar radiation, maximum and minimum temperatures) collected from the climatological station (BMKG) Karangploso Malang and (c) observation data of soybean yields of two varieties (Wilis and Argomulyo) at Muneng Experiment Station. It was found that the coefficients of determination of simulation model of soybean yield potential (R2) range from 0.945-0.992 and RMSE (Root Mean Square Error) values range from 0.11 to 0.25 t/ha. The average of soybean yield potential and production in 2012 at soybean production centers of East Java were 1.94 t/ha and 293,459 ton, respectively. The conclusion is SUCROS.SIM valid to be integrated with GIS.</p>

scholarly journals PENENTUAN WAKTU TANAM PADI SAWAH DI KABUPATEN SANGIHE DENGAN MENGGUNAKAN MODEL SIMULASI SHIERARY RICE

EUGENIA ◽  
2015 ◽  
Vol 21 (3) ◽  
Author(s):  
Farida Fattah ◽  
J. E.X. Rogi ◽  
Mariam M. Toding
Keyword(s):  
Cost Savings ◽  
Simulation Models ◽  
Field Capacity ◽  
Paddy Rice ◽  
Yield Potential ◽  
Potential Yield ◽  
Planting Time ◽  
The North ◽  
Humidity Field

ABSTRACT   Decline in rice production in Sangihe Island partly due to climate change and the implementation of a less precise planting time. Rice Shierary  model was used to predict the timing of planting paddy and has advantages in time and cost savings. This study aims to determine the exact time of planting in paddy rice crops in the district of South Manganitu, North Tabukan and Tamako, as well as to determine whether the results of the simulation model Shierary Rice together with the results obtained from the Central Bureau of Statistic Sangihe Islands. Input model consists of solar radiation, rainfall, temperature and humidity, field capacity, permanent wilting point, varieties, irrigation, nitrogen fertilization, longitude and latitude of the study area. While the output was paddy rice yield potential. It can be concluded that (a) the appropriate planting time of paddy in the South Manganitu namely in June with a potential yield of 4.25 tonha-1 and March with a potential yield of 3.88 tonha-1. (b) the appropriate planting time of paddy in the  North Tabukan namely in June with a potential yield of 4.27 tonha-1 and March with a potential yield of 3.62 tonha-1. (c) the appropriate planting time of paddy in Tamako ie in March with a potential yield of 3.58 tonha-1 and February with a potential yield of 3.28 tonha-1. (d) the yield of rice field paddy with the determination of planting time by using the model of Shierary Rice nearing/line with productivity results which obtained by the Central Statistics Agency (BPS) Sangihe Islands. Keywords: planting, paddy, simulation models, Shierary Rice

scholarly journals Contribution of Wild Relatives to Durum Wheat (Triticum turgidum subsp. durum) Yield Stability across Contrasted Environments

Agronomy ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1992
Author(s):  
Hafid Aberkane ◽  
Ahmed Amri ◽  
Bouchra Belkadi ◽  
Abdelkarim Filali-Maltouf ◽  
Jan Valkoun ◽  
...  
Keyword(s):  
Durum Wheat ◽  
Triticum Turgidum ◽  
Wild Relatives ◽  
Yield Stability ◽  
Yield Potential ◽  
High Yield ◽  
Interspecific Crosses ◽  
Aegilops Speltoides ◽  
Recurrent Parent ◽  
Environment Interaction

Durum wheat (Triticum turgidum subsp. durum) is mostly grown in Mediterranean type environments, characterized by unpredictable rainfall amounts and distribution, heat stress, and prevalence of major diseases and pests, all to be exacerbated with climate change. Pre-breeding efforts transgressing adaptive genes from wild relatives need to be strengthened to overcome these abiotic and biotic challenges. In this study, we evaluated the yield stability of 67 lines issued from interspecific crosses of Cham5 and Haurani with Triticum dicoccoides, T. agilopoides, T. urartu, and Aegilops speltoides, grown under 15 contrasting rainfed and irrigated environments in Morocco, and heat-prone conditions in Sudan. Yield stability was assessed using parametric (univariate (e.g., Bi, S2di, Pi etc) and multivariate (ASV, SIPC)) and non-parametric (Si1, Si2, Si3 and Si6) approaches. The combined analysis of variance showed the highly significant effects of genotypes, environments, and genotype-by-environment interaction (GEI). The environments varied in yield (1370–6468 kg/ha), heritability (0.08–0.9), and in their contribution to the GEI. Several lines derived from the four wild parents combined productivity and stability, making them suitable for unpredictable climatic conditions. A significant advantage in yield and stability was observed in Haurani derivatives compared to their recurrent parent. Furthermore, no yield penalty was observed in many of Cham5 derivatives; they had improved yield under unfavorable environments while maintaining the high yield potential from the recurrent parent (e.g., 142,026 and 142,074). It was found that a limited number of backcrosses can produce high yielding/stable germplasm while increasing diversity in a breeding pipeline. Comparing different stability approaches showed that some of them can be used interchangeably; others can be complementary to combine broad adaption with higher yield.

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