Determinant factors in olive oil accumulation for optimizing harvest time in a context of climate change

2021 ◽  
Author(s):  
José M. Cabezas ◽  
Estrella Muñoz ◽  
Raúl De la Rosa ◽  
Lorenzo León ◽  
Ignacio J. Lorite
Keyword(s):  
Olive Oil ◽  
Block Design ◽  
Weather Conditions ◽  
Environment Interaction ◽  
Harvest Time ◽  
Oil Accumulation ◽  
Wide Range ◽  
Optimal Harvest ◽  
Olive Trees ◽  
Woody Crop

<p>Olive is a woody crop extended over 10 Mha around the world (FAOSTAT, 2019), being Spain the country with the largest area (2.7 Mha). Andalusia is located in the South of Spain, with 1.6 Mha cultivated with olive trees, most of them (around 90%) dedicated to olive oil production (MAPA, 2020). This region is characterized by a great diversity of weather conditions. This diversity greatly affects important agronomic parameters of olive as the pattern of oil accumulation. This influence is different depending on the cultivar considered. In addition, this pattern of oil accumulation is a key aspect since is the most relevant trait determining the optimal harvest time. For that reason, in the present study, the relative influence of cultivar and environment, and their interaction, have been evaluated for the full pattern of oil accumulation.</p><p>This study was carried out in four locations of Andalusia covering a wide range of weather conditions, and where olive trees are well established or under expansion: Antequera (Málaga), Córdoba, Úbeda (Jaén) and Gibraleón (Huelva). In 2008, five cultivars were planted in a randomized complete block design consisting in four blocks and four trees per elementary plot: Arbequina, Hojiblanca, Koroneiki, Picual and Sikitita-3 (a new registered cultivar from the olive breeding program developed by the University of Córdoba and IFAPA). The first two locations were monitored in 2018 and 2020 while the other two locations were monitored only during 2020 campaign. Fruits samples were collected periodically, starting 4 weeks after full bloom until the oil accumulation was finished. Then, in the laboratory, fruits’ oil content was measured by nuclear magnetic resonance.</p><p>Results show sigmoid patterns regarding fruit oil accumulation and dry basis along each campaign in all genotypes, locations and years. There were significant differences of maximum olive oil accumulation among genotypes, recording the genotype Sikitita-3 the maximum ones. Furthermore, a significant genotype-environment interaction was also found for these. These results have relevant consequences regarding the selection of the optimal harvest time, to accomplish a desired balance between maximum oil accumulation and quality indicators which require early harvest dates.</p><p> </p><p>References:</p><p>FAOSTAT, 2019. Food and Agriculture Organization of the United Nations. FAOSTAT database available at http://www.fao.org/faostat/en/#data. Last accessed 12 January 2020.</p><p>MAPA, 2020. Ministry of Agriculture, Fisheries and Food. Survey of surfaces and crop yields 2020 available at https://www.mapa.gob.es/es/estadistica/temas/estadisticas-agrarias/agricultura/esyrce/. Last accessed 12 January 2020.</p>

scholarly journals Combined Metabolome and Transcriptome Profiling Reveal Optimal Harvest Strategy Model Based on Different Production Purposes in Olive

Foods ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 360
Author(s):  
Guodong Rao ◽  
Jianguo Zhang ◽  
Xiaoxia Liu ◽  
Xue Li ◽  
Chenhe Wang
Keyword(s):  
Gene Expression ◽  
Olive Oil ◽  
Expression Patterns ◽  
Transcriptome Profiling ◽  
Minor Components ◽  
Harvest Time ◽  
Rna Seq ◽  
Optimal Harvest ◽  
Harvest Strategy ◽  
Different Color

Olive oil has been favored as high-quality edible oil because it contains balanced fatty acids (FAs) and high levels of minor components. The contents of FAs and minor components are variable in olive fruits of different color at harvest time, which render it difficult to determine the optimal harvest strategy for olive oil producing. Here, we combined metabolome, Pacbio Iso-seq, and Illumina RNA-seq transcriptome to investigate the association between metabolites and gene expression of olive fruits at harvest time. A total of 34 FAs, 12 minor components, and 181 other metabolites (including organic acids, polyols, amino acids, and sugars) were identified in this study. Moreover, we proposed optimal olive harvesting strategy models based on different production purposes. In addition, we used the combined Pacbio Iso-seq and Illumina RNA-seq gene expression data to identify genes related to the biosynthetic pathways of hydroxytyrosol and oleuropein. These data lay the foundation for future investigations of olive fruit metabolism and gene expression patterns, and provide a method to obtain olive harvesting strategies for different production purposes.

scholarly journals Genotype and environment interaction of drought tolerant rice genotypes evaluated in drought prone areas of Bangladesh

2016 ◽  
Vol 14 (1) ◽  
pp. 23-30
Author(s):  
RR Majumder ◽  
TR Hore ◽  
MA Kader ◽  
TL Aditya
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Principal Component ◽  
Field Trials ◽  
High Yield ◽  
Environment Interaction ◽  
Growth Duration ◽  
Yield Data ◽  
Wide Range ◽  
Rice Genotypes

Field trials were conducted using ten rice genotypes including four national and international check varieties under drought prone rainfed environments of Rangpur, Nilphamari, Kurigram and Lalmonirhat districts of Bangladesh in Transplant Aman 2012 season to evaluate the growth duration and grain yield stability as well as adaptability. The experiment used randomized complete block design with three replications. Growth duration and Grain yield data were subjected to Additive Main effects and Multiplicative Interaction (AMMI) analysis. The mean growth duration of 10 genotypes over four environments showed that the longest growth duration was found for IR83383-B-B-129-4 (115.6 days) and the lowest growth duration was found for BRRI dhan56 (Ck) (113.4 days). IR82635-B-B-145-1 produced maximum 4.28 t/ha grain yield followed by 4.28 t/ha in IR82589-B-B-84-3 and the lowest grain yield was recorded for IR83376-B-B-130-2 with 3.24 t/ha. It was evident from the AMMI 1 biplot analysis that IR83377-B-B-93- 3, IR83383-B-B-129-4, IR82635-B-B-145-1, IR82635-B-B-75-2 and BRRI dhan56 (Ck) generally exhibited high yield with high main (additive) effects showing positive first principal component of the interaction (IPCA1), but IR82635-B-B-145-1 being the overall best. Hence, IR82635-B-B-145-1 was identified as specially adapted to Lalmonirhat and this environment was considered as the wide range suitable environment for the genotype. Lalmonirhat could be regarded as a good selection site for rice improvement due to stable yields. IR83377-B-B-93-3, IR82635-B-B-145-1, IR83383-B-B-129-4, IRRI 123 (Ck), BRRI dhan57 (Ck) and BINA dhan7 (Ck) were hardly affected by the G × E interaction and would perform well across a wide range of environments. In AMMI 2 biplot, IR82635-B-B-145-1 and IRRI 123 (Ck) was more responsive since they were away from the origin whereas other genotypes were nearer to the origin and hence they were more stable to different environments. IR83383-B-B-129-4 was very close to the origin, so it was more stable to different environments. Similarly Rangpur Sadar and Lalmonirhat showed similar potentiality over IR83383-B-B-129-4. The study it revealed that IR83377-B-B-93-3, IR83383-B-B-129-4, IR82635-B-B-145-1, IR82635-B-B-75-2 and IR82589-B-B-84-3 has the potentiality to show drought tolerance for the regions and might be suitable for releasing as a variety after conducting proper yield evaluation trials and Distinction, Uniformity and Stability (DUS) tests.J. Bangladesh Agril. Univ. 14(1): 23-30, June 2016

scholarly journals Penentuan Waktu Panen untuk Produksi Benih Bermutu Tanaman Kacang Panjang (Vigna sinensis L.)

2021 ◽  
Vol 11 (1) ◽  
pp. 21
Author(s):  
IDA AYU MAYUN ◽  
A.A. MADE ASTININGSIH ◽  
I WAYAN SEDANA ◽  
I GUSTI NGURAH RAKA
Keyword(s):  
Block Design ◽  
Dry Weight ◽  
Weather Conditions ◽  
Harvest Time ◽  
Vigna Sinensis ◽  
Physiological Level ◽  
Physiological Maturity ◽  
Randomized Block Design ◽  
Bean Plants ◽  
The Right

Determination of Harvest Time for Quality Seed Production of Long Bean Plants (Vigna sinensis L.). Seed maturity generally occurs at the same time as fruit maturity. When the fruit reaches its physiological level, it is the best time to get seeds with high quantity and best quality. Early harvest before physiological maturity many seeds have not been completely filled so that they will produce low quality seeds because many seeds are wrinkled. Meanwhile, when harvested after physiological maturity, the seeds experience weather conditions so that many seeds experience physical and physiological quality deterioration. The research aimed to get the right harvest time in the production of quality seeds of long bean plants. This study used a randomized block design with 6 treatments at harvest pods after blooming and 4 replications. The six treatments were harvest age 14, 17, 20, 23, 26, and 29 days after the flowers bloom. The results showed that the right time to harvest pods for the production of long bean seeds was 26 days after blooming, the color of the pods has changed from green to yellow,  the seeds have the highest dry weight (7,56 g),  the best germination capacity (100%), and maximum vigor (88,78%).

scholarly journals Uji Adaptasi dan Stabilitas Hasil Enam Genotipe Cabai Hibrida di Dataran Tinggi Jawa Barat (Adaptation and Yield Stability of Six Hybrid Chili Genotypes in Highland Area of West Java)

2019 ◽  
Vol 29 (1) ◽  
pp. 17
Author(s):  
NFN Kusmana ◽  
Rinda Kirana ◽  
Astiti Rahayu
Keyword(s):  
Block Design ◽  
Genetic Effect ◽  
Yield Potential ◽  
Experimental Unit ◽  
Environment Interaction ◽  
West Java ◽  
Wide Range ◽  
Adaptation Test ◽  
New Varieties ◽  
The Stability

<p>Uji adaptasi dilakukan untuk mengestimasi interaksi antara Genotipe dengan Lingkungan, sehingga dapat ditentukan apakah genotipe yang diuji adaptif pada lingkungan yang spesifik atau stabil pada lingkungan yang luas. Tujuan pengujian ialah mendapatkan informasi tentang stabilitas hasil cabai hibrida yang ditanam pada tiga lokasi di Jawa Barat. Pengujian ditata dengan menggunakan Rancangan Kelompok Lengkap Teracak pada tiga lokasi pengujian yaitu di Kab. Bandung, Kab. Bandung Barat dan Kab. Garut. Populasi tanaman untuk tiap-tiap plot penelitian ialah 30 tanaman  dengan empat ulangan. Hasil analisis ragam gabungan terlihat bahwa nilai kuadrat tengah genotipe lebih tinggi dari nilai kwadrat tengah interaksi genotipe x lingkungan hal ini memberikan indikasi bahwa pengaruh genetik lebih dominan dibandingkan faktor lingkungan. Varietas (genotipe) yang diuji berbeda sangat nyata sehingga menunjukkan adanya perbedaan potensi hasil diantara varietas dan terjadi interaksi antara genotipe dengan lingkungan. Genotipe stabil berdasarkan perhitungan MSTATC ialah H-1 dan  Cosmos. Genotipe Batalion dan Merona tidak stabil karena nilai T hitung lebih besar dari T tabel sementara Genotipe H 2 dan Hot Beauty tidak stabil karena hasil dibawah rerata. Implikasi dari penelitian ialah didapatkan informasi genotipe cabai yang stabil pada agroekosistem dataran tinggi Jawa Barat.  </p><p><strong>Keywords</strong></p><p>Genotipe cabai hibrida (<em>Capsicum annuum</em>); Adaptasi; Stabilitas; Jawa Barat</p><p><strong>Abstract</strong></p><p>An adaptation test was carried out to estimate the interaction between genotypes and the environment, to be able to determine whether the genotypes tested were adaptable in a specific or stable in a wide range of environments. The objective of this study were to obtain the stability level of the hybrid chili tested at three highland West Java locations. The study was arranged using a randomized complete block design with four replications. The treatment consisted of six hybrid chili genotypes tested at three test locations, i.e. West Bandung District, Bandung District, and Garut District. The experimental unit was a plot containing 30 plants. Results showed that the combined analysis of variance (ANOVA) showed that the mean square of the genotype was higher than that of genotype x environment interaction, indicating that the genetic effect was more dominant than that of environmental factors. Genotypes tested were highly significant (p &lt; 0.01) indicating difference yield potential among the genotypes tested. There was a significant interaction between the genotype with that of the environment. The stable genotypes determined based on MSTATC analysis obtained two stable genotypes, i.e. H-1 and Cosmos. Genotypes Batalion and Merona, on the other hand were not stable because the T value counted was greater than that of T table. The genotypes H-2 and Hot Beauty were also found not stable because of low yield performances. The implication of this research was that the stable hybrid chili genotypes obtained from this study can be recommended to be registered as candidates as chili paper new varieties.</p>

Additive Main Effects and Multiplicative Interactions (AMMI) Analysis of Growth of Half-sib Families of Eucalyptus camaldulensis Across Environments

2017 ◽  
Vol 104 (4 - 6) ◽  
Author(s):  
Chandrasekar R ◽  
◽  
Vinothkumar A ◽  
Smitha G. Nair ◽  
Sivakumar V ◽  
...  
Keyword(s):  
Block Design ◽  
Eucalyptus Camaldulensis ◽  
Principal Component ◽  
High Yield ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Wide Range ◽  
Ammi Analysis ◽  
Sib Families ◽  
Main Effects

 To determine the stability in yield and estimate the extend of genotype x environment interaction of half sib progenies of Eucalyptus camaldulensis across different locations, 48 half sib families and 2 clones were evaluated in a randomized block design (RBD) with 4 replications at four locations viz., Marakkanam, Thiyagadurgam, Karaikudi and Pulvayal after three years of planting during 2013. Additive main effects and multiplicative interactions (AMMI) analysis indicated that the growth of half sib families were under the major effects of genotype x environment interactions. The first two principal component axes (PCA 1 and 2) were significant (P≤ 0.01) and cumulatively contributed to 88.0% of the total genotype by environment interaction. The biplot technique was used to identify appropriate half-sib families to specific locations. Results showed that families 23, 7, 57 and 40 expressed high stability in performance across environments. Families 74, 92, 36, 88, 30 and 70 exhibited high yield in which environment potential. Family 36 and 74 showed low interaction with high growth performance and can be recommended for a wide range of environments. The families 30, 70 and 92 were having high productivity. Similarly the interaction with environment was also high. Hence, these families can be recommended for specific environments. The locations Marakkanam and Thiyagadurgam were found to be related and completely different from Karaikudi and Pulvayal. According to stability Pulvayal was found to be more stable environment and can be used for breeding programs. Families 30 and 92 are unstable families, however they are specifically adapted to high yielding environment, Marakkanam

scholarly journals ADAPTIBILITY PERFORMANCES OF CHICKPEA (CICER ARIETINUM L.) GENOTYPES UNDER DIFFERENT ENVIRONMENTS FOR STABILITY OF QUANTITATIVE TRAITS

2020 ◽  
Vol 53 (1) ◽  
pp. 62-72
Author(s):  
M. G. AZAM ◽  
M. A. HOSSAIN ◽  
J. HOSSAIN ◽  
M. A. HOSSAIN ◽  
M. O. ALI
Keyword(s):  
Regression Analysis ◽  
Cicer Arietinum ◽  
Block Design ◽  
Principal Component ◽  
High Yield ◽  
Environment Interaction ◽  
Phenotypic Characters ◽  
Cicer Arietinum L ◽  
Genotype Environment Interaction ◽  
Wide Range

The evaluation and computation of yield stability of a genotype over environments is a critical component of a certain breeding program. The present study was intended to screen 11 advance chickpea (Cicer arietinum L.) genotypes and one check for genotype × environment interaction (G × E) at six locations with varying micro and macro climatic conditions for yield correlated phenotypic characters. A number of 11 advanced genotypes of chickpea and one check variety were assessed for their adaptability at six different locations of Bangladesh. The randomized complete block design (RCBD) with three replications was chosen to experiment. The means were used to compute Additive Main Effects and Multiplicative Interaction (AMMI) analysis of variance, followed by regression analysis to measure × E. The regression analysis showed significant genotype × environment interaction for all the phenotypic characters. The mean values of days to flowering, days to maturity, plant height, number of pods per plant and seed yield were highly significant for linear, as well as non-linear components of G × E. Chickpea yield was significantly (p< 0.01) affected by genotypes, the environments and G × E interaction, indicating that the varieties and the test environments were diverse. G × E was further partitioned by principal component axes. The first two principal components cumulatively explained 86.59% of the total variation, of which 53.34% and 33.25% were contributed by IPCA1 and IPCA2, respectively. The AMMI stability value discriminated genotypes G2 (BCX 09010-9), G3 (BCX 09010-2) and G8 (BCX 01008-4) the stable genotypes. The investigated genotypes exhibited varying adaptability in different environments. Genotypes G3 (BCX 09010-9) and G9 (BCX 01008-3) were stable genotypes with high yield over a wide range of environments are promising candidate chickpea varieties.

scholarly journals Genotype × environment interaction effects on cured leaf colour distribution in Zimbabwean Virginia tobacco (Nicotianatabacum L)

2018 ◽  
Author(s):  
Justify Gotami Shava ◽  
Susan Kageler ◽  
Shorai Dari ◽  
Frank Magama ◽  
Dzingai Rukuni
Keyword(s):  
Management Practice ◽  
Block Design ◽  
Interaction Effects ◽  
Climatic Conditions ◽  
Relative Price ◽  
Environment Interaction ◽  
Leaf Colour ◽  
Genotype Environment Interaction ◽  
Wide Range ◽  
Colour Distribution

Cured leaf colour is one of the most important traits in Virginia tobacco (Nicotianatabacum L) production. Cured leaf colour is associated with the relative nicotine content of the leaf and determines the relative price of the cured leaf on the market. There are three main Virginia tobacco cured leaf colours namely lemon, orange and mahogany. Virginia tobacco breeders in Zimbabwe aim to produce varieties that give each of the cured leaf styles to satisfy a wide range of farmer preferences. However, it is often speculated without empirical evidence that the location, climatic conditions and hence farmer management practice influence the cured leaf colour of Virginia tobacco produced by a farmer. A study involving twelve genotypes was conducted in eight farming locations across Zimbabwe over two seasons to determine the genotype × environment interaction effects on Virginia tobacco cured leaf colour. Experiments in each location was laid out as a randomised complete block design (RCBD) with three replicates and data on the proportion of the cured leaf that was classified as dark (orange and mahogany) was observed. The collected data was analysed using the AMMI Model in Genstat Version 17 it was shown that there were no significant genotype × environment interaction effects for cured Virginia tobacco leaf colour (p > 0.05). The results have also indicated that Virginia tobacco varieties with K E1 as their progenitor gave relatively high proportions of dark cured leaf styles.

scholarly journals Study the Seed and Oil Yield Stability of Sunflower Hybrids across Environments

2020 ◽  
pp. 28-42
Author(s):  
M. A. Ahmed ◽  
Kh. A. Morad ◽  
M. A. Attia ◽  
Zeinab E. Ghareeb
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Heritability Estimate ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
Oil Yield ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Wide Range ◽  
Main Effects

Aims: This study was conducted to investigate the nature of genotypes-environments interaction (GEI) and identify the most stable sunflower hybrids that can give high seed yield with high oil yield under a wide range of environmental conditions in Egypt. Place and Duration of Study: Fifteen hybrids were evaluated across three years (2017 to 2019) and three locations (Giza, Ettay El-Barod and Shandaweel). Study Design: The experiments were laid out in Randomized Complete Block Design (RCBD) with three replications. Methodology: Analysis of variance, some stability methods as additive main effects and multiplicative interaction (AMMI) and genotype main effects and genotype-by-environment interaction effects (GGE-biplot) were conducted. Results of stability indices were ranked as AMMI Stability Value (ASV), yield stability (YSI) and rank-sum (RSI) and heritability was estimated. Results: Combined analysis revealed that GEI was highly significant, indicating the possibility of selection for stable ones. AMMI analysis confirmed that the seed yield performance of sunflower hybrids was largely influenced by the environment. On the contrary, environments recorded less impact on oil yield as compared to the effect of hybrids (genetics). Then, heritability estimate of oil yield trait (93.86%) was higher than the seed yield one (31.10%). Indices of YSI and RSI presented that hybrids (H15, H7 and H11) and (H7, H8 and H15) were the best stable promising ones in seed and oil yield, respectively. GGE-biplot analysis indicated that hybrids (H15, H7, H4 and H11) and (H7, H15, H8 and H15) were considered as the most ideal for seed and oil yield, respectively whereas Shandweel was the ideal environment for both. Conclusion: Therefore, all analyses agreed on hybrids H15, H7 and H11 were considered as the most desirable and stable ones. These hybrids can be recommended for wider cultivation due to better seed and oil yield with stable performance across the test environments.

scholarly journals Genotypic × Environment Interaction and Stability Analysis for Yield and Yield Attributes in Taramira (Eruca sativa Mill.)

2021 ◽  
pp. 1-11
Author(s):  
Mahaveer Prasad Ola ◽  
Mohan Lal Jakhar ◽  
D. K. Gothwal ◽  
Sarfraz Ahmadmad ◽  
Manohar Ram
Keyword(s):  
Stability Analysis ◽  
Seed Yield ◽  
Block Design ◽  
Pooled Analysis ◽  
Environment Interaction ◽  
Eruca Sativa ◽  
Stability Parameters ◽  
Yield Attributes ◽  
Randomized Block Design ◽  
Wide Range

Aims: To identify the stable genotypes across the different environments for yield and its           attributing traits. Study Design: Field experimental design was applied. Place and Duration of Study: The experiment was conducted at Research Farm, SKN College of Agriculture, S.K.N. Agriculture University, Jobner (Rajasthan), India in different environments during rabi 2018-19. Methodology: An experiment was conducted on thirty genotypes of taramira (Eruca Sativa Mill.) in three environments created by three dates of sowing during rabi 2018-2019 in randomized block design with three replications to estimate genotypic × environment interaction and stability parameters for various yield and yield attributing traits. The stability analysis was carried out according to Eberhart and Russell model. Results: The highest yielding genotypes were RTM-1351, RTM-1810, RTM-1315 and RTM-314. Genotypes RTM-314, RTM-1800, RTM-1810 and RTM-1815 were found relatively stable for seed yield per plant. Genotypes RTM-1795, RTM-1798 and RTM-1799 had below average stability for seed yield per plant and suitable for better environmental conditions. Genotypes RTM-1791, RTM-1815 and RTM-1351 were showed above average stability for seed yield per plant and suitable for poor environmental condition. Further, these genotypes can be utilized in the development of stable cultivar taramira. Conclusion: Pooled analysis of variance indicated significant differences among environments and genotypes. Genotypes RTM-314, RTM-1800, RTM-1805 and RTM-1810 were found most stable for most of the characters, which can be grown in wide range of environments (all three dates of sowing).

scholarly journals Sugarcane harvest time for processing and technological quality of brown sugar

2021 ◽  
Vol 56 ◽  
Author(s):  
André Luís Tischler ◽  
Elisangela Marques Jeronimo ◽  
Alessandro Dal’Col Lúcio ◽  
Bruno Giacomini Sari ◽  
Patrícia Jesus de Melo ◽  
...  
Keyword(s):  
Block Design ◽  
Sugar Content ◽  
Saccharum Officinarum ◽  
Sugar Production ◽  
Harvest Time ◽  
Brown Sugar ◽  
Optimal Harvest ◽  
Technological Quality ◽  
June July

Abstract: The objective of this work was to evaluate the optimal harvest time of ten genotypes of sugarcane (Saccharum officinarum) for the processing and quality of brown sugar. The experiment was carried out in a randomized complete block design in a 3x10 factorial arrangement in split plots, with three harvest times and ten sugarcane genotypes, in the state of São Paulo, Brazil. The qualitative parameters of brown sugar were evaluated by Scott-Knott’s test, at 5% probability. The harvest season in September, known as the middle of the harvest, is the most suitable for the production of brown sugar due to the higher of ºBrix values of cane, ºBrix of the broth, pol of brown sugar, and total reducing sugars in this period. The harvesting of the sugarcane genotypes in June-July is the most favorable for the production of brown sugar for the color characteristics a*, b*, L*, and chroma; however, it is also the period of production of brown sugar with a lower sugar content. The third harvest season (November) is the least recommended for brown sugar production due to the higher fiber and purity values. The most suitable genotype for brown sugar production and quality is 'IACSP04-704'.

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