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late growth and yield of canola as CO  is the   with vegetative indices could greatly improve   113.   Wild berries for northern agricultu­
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          substrate for photosynthesis and therefore a   the predicting reliability of RFR up to 85%  with   re ­ selection, propagation, conservation 
          macronutrient ("CO  fertiliZation efect') and   53­57% lower RMSE compared to NDVI­ or   and production
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          this can ofset some of the negative efects   SPAD­based models  A s such  all features RFR   S  C  DEBNATH. St. John’s Research and Deve­
          of extreme climate  This paper examines the   was used to make precise N recommenda­  lopment Centre, Agriculture and Agri-Food Ca­
          potential impact of these pro ected climate   tions  A rate of 150 kg N ha  was suggested   nada, St. John’s, Newfoundland and Labrador,
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          change scenarios and resultant changes in   for most scenarios in eastern Canada with a   A1E 6J5, Canada.
          CO  concentrations  temperature  moisture    slightly higher (160 kg N ha ) for those sites of
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          growing degree days  and increase in frequen­  even precipitation distribution    Wild blueberr y (Vaccinium spp L )  cranberr y
          cy and severity of extreme events on canola                             (V. macrocarpon Ait )  lingonberr y (V. vitis-idaea
          yields and quality  Current and emerging   112.   The role of canola in carbon seques­  L ) and cloudberr y (Rubus chamaemorus
          pest distributions and se verity along with   tration in Western Canada soils   L ) are native to northern Canada  While
          biodiversity on the Canadian prairies were   I  G  EPP W O  WARD AND C  B  REMPEL   blueberr y (lowbush and highbush) is the most
          also assessed under climate change scenarios    Canola Council of Canada,   400-167 Lombard   important fruit crop in Canada with highest
          Adaptive strategies for continued profitable   Avenue., Winnipeg, MB R3B 0T6, Canada.   farm gate value followed by apple  grape and
          canola production are also discussed                                    cranberr y  lingonberr y and cloudberr y are two
                                              Soil Organic Carbon (SOC) in agricultural   important indigenous food crops rich in an­
          111.   Machine learning­based canola   lands is vital for global food production and   tioxidant metabolites  Wild berries and hybrids
          yield prediction and site­specific nitrogen   greenhouse gas (GHG) mitigation  Over the   between wild and cultivated berries are of
          recommendation                      past several decades canola acres have   significant importance for conser ving genetic
          G  WEN  B­L MA  Ottawa Research and De­  rapidly increased  while at the same time   resources and community food production
          velopment Centre, Agriculture and Agri-Food   summerfallow acres have declined  leading to   due to their higher production and winter
          Canada, 960 Carling Avenue, Ottawa, ON K1A   an increase SOC  Low­till and no­till farming   hardiness compared to existing cultivars  New
          0C6 Canada.                         practices allow Canadian farmers to sequester   techniques for conser vation  propagation and
                                              11 million tonnes of greenhouse gases (GHG)   selection of pest resistant and high antioxidant
          An efective crop yield prediction is critical   in their fields each year  Less tilling means   containing wild germplasm will play signifi­
          for precise nitrogen (N) fertiliZation  However      farmers are making fewer passes over the   cant role for preser ving valuable biodiversity
          crop yield forecasting is highly complex due   field with tractors and tillage implements    and for a sustainable production system in
          to many influenced factors  such as genotype   reducing fuel and GHG emissions  A s a result   the North  The current review deals with the
          and environment  The ob ective of this study   of increased conser vation tillage practices    in­depth progress on diferent aspects of wild
          is to develop a machine­learning algorithm    Canadian farms now use between 126 and 194   berr y germplasm characteriZation at molecu­
          i e    random forest regression (RFR) to make   fewer litres of diesel each year  reducing GHG   lar and biochemical levels  their propagation
          decisions in site­specific N recommendation   emissions by about 450 000 to 750 000 tonnes   in vitro and use of molecular markers for
          at an early growth stage through canola yield   per year  The ma ority of increased recent   the clonal fidelity of micropropagated wild
          prediction  A 4­yr (2013­16) field experiment   carbon input in Western Canada has been   berries  The paper also covers the utiliZation
          with series of N rates (0200 kg N ha ) and   largely driven by the increasing area and yield   of epigenetics in tissue culture berr y crop
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          timing (at planting or split application at GS16)   of canola  In additions to increasing yields    improvement
          was conducted at 5 locations in eastern Cana­  crops with larger root systems and higher root
          da  Hybrids InVigor 5440 and L150 were used   to shoot ratio like canola  provide higher be­  114. Assessing the yield and stability of 
          in 2013 and 2014 while L150 was replaced with   lowground carbon input and impact radiative   cropping systems in the major ecozones 
          L140P since 2015  The pre­planting soil pro­  forcing  Based on carbon calculations which   on the Canadian Prairies
          perties (texture  pH  P K  and organic matter)    attribute carbon change to individual crops    LIU K  ASGEDOM H  BAINARD LD   ENTZ M 4
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          weather (precipitation and temperature)  N   increasing canola yields to an average of 52   HUBBARD M   IHESHIULO E   KHAKBAZAN
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          rate  plant phenotypes (height and density)   bushels per acre by 2025 will sequester an   M  KUBOTA H   LARNEY F  LEMKE R   LUP­
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          and vegetative indices (NDVI and SPAD) collec­  additional five million tonnes of greenhouse   WAYI N  PENG G  HERNANDEZ RAMIREZ G 8
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          ted before the 6­leaf stage were used to train   gases in Canadian soils each year  relative to   SEMACH G   STANLEY K   STRYDHORST S   ST
          the validate the models  Results showed that   2005  The impact of canola production practi­  LUCE M  TIDEMANN B  AND GAN Y 1
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          weather condition is the most important factor   ces and yields will be presented in context of   Agriculture and Agri-Food Canada, Swift
          to determine seed yield  with a GINI score of   canola industries commitment to Canada and   Current Research and Development Centre,
          22%  Single vegetative index (NDVI or SPAD)   UN sustainability goals  Canola has a strong   PO Box 1030, 1 Airport Road, Swift Current, SK
          could illustrate over 55% of seed yield in terms   history of helping Canada reduce its overall   S9H 3X2   Canada; (H.A., R.L., G.P.) Agriculture
          of relative error (RE)  However  a high root­  GHG emissions and will play a critical role in   and Agri-Food Canada, Saskatoon Research
          mean­square error (RMSE)  approaching 30%   further reductions          and Development Centre, 107 Science Place,
          of average yield  was obser ved  Incorporating                          Saskatoon, SK  S7N 0X2 Canada; (L.D.B.) Agassiz
          other features (soil properties  weather  etc )                         Research and Development Centre, Agriculture
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